PAPILLONS Data Management Plan

Data Management Plan HORIZON 2020 of European Union The project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 101000210 D5.4 2024 Ref. Ares(2024)4501731 - 21/06/2024 Project Acronym PAPILLONS Project Title Plastic in Agricultural Production: Impacts, Lifecycles and LONg-term Sustainability Grant Agreement No. 101000210 Project Duration 48 months (01 June 2021 – 31 May 2025) Framework Horizon 2020 Programme SFS-21-2020: Emerging challenges for soil management. B. [2020] Use of plastic in agriculture Instrument RIA - Research and Innovation Action Document Information Work Package Deliverable Title Lead Beneficiary Author(s) Contributor(s) Deliverable due date Actual date of delivery Version WP5: Communication, Dissemination, Exploitation D5.4: Data Management Plan NIVA Kim Leirvik and Viviane Girardin Ileana Blanco, Laura Zantis, Sam van Loon, Sebastian Pietz, Caterina Borchi, Vili Saartama , Raisa Turja Aristeidis S. Tsagkaris, Giuliano Vox, Fabiana Convertino, Martina Vijver, Willie Peijnenburg, Ali Hachem, Shin Woong Kim, Valentina Tartiu, Bartosz Adamczyk, Sabrina Carola Carroccio, Evelia Schettini, Thijs Bosker, Paolo Maria Riccobene, Sannakajsa Velmala, Kees van Gestel, Darina Dvorakova, Rebecca Agati, Frédéric Gimbert, Anita Jemec Kokalj, Maria Kazour, Jana Pulkrabova, Pierfrancesco Cerruti, Matthias Rillig, Klára Šmídová, Sandro Dattilo, Jakub Hofman, Salla Selonen Virtudes Martínez-Hernández, Rachel Hurley 31 May 2024 21 June 2024 1 Review Process Name Role Date Dag Øystein Hjermann Research Manager NIVA 16.05.2024 Quality Control Process Name Position Date Luca Nizzetto Project Coordinator 31.05.2024 Deliverable Type Dissemination Level R Report ✓ CO Confidential DEC Websites, patents, filing, etc. P Public ✓ DEM Demonstrator O Other D5.4 – Data Management Plan ii Table of contents About the PAPILLONS project .............................................................................................................. xxii About this Deliverable ......................................................................................................................... xxiii List of abbreviations ........................................................................................................................ xxiii 1. Subtask 1.1.1. – Chemical composition of main agricultural articles used for protected cultivation systems .................................................................................................................................................. 24 1.1. Data Summary...................................................................................................................... 24 What is the purpose of the data collection/generation and its relation to the objectives of the project? ................................................................................................................................... 24 What are the types of the described generated/collected data? ................................... 24 What are the formats of the described generated/collected data? ............................... 24 What is the origin of the described data? ....................................................................... 25 What is the expected size of the described data? ........................................................... 25 To whom might it be useful (‘data utility’)? .................................................................... 25 1.2. Reused Data ......................................................................................................................... 25 Are you reusing the described data and how? ................................................................ 25 Making data findable, including provisions for metadata ............................................... 25 Making data openly accessible ........................................................................................ 26 Making data interoperable .............................................................................................. 27 Increase data reuse ......................................................................................................... 27 1.3. Allocation of resources ........................................................................................................ 27 1.4. Data security ........................................................................................................................ 28 1.5. Ethical aspects ...................................................................................................................... 28 1.6. Other .................................................................................................................................... 28 2. SubTask 1.1.2. – Physical and technical characterization of main agricultural plastics articles used for protected cultivation systems ......................................................................................................... 29 2.1. Data Summary...................................................................................................................... 29 What is the purpose of the data collection/generation and its relation to the objectives of the project? ................................................................................................................................... 29 What are the types of the described generated/collected data? ................................... 29 What are the formats of the described generated/collected data? ............................... 29 D5.4 – Data Management Plan iii What is the origin of the described data? ....................................................................... 30 What is the expected size of the described data? ........................................................... 30 To whom might it be useful (‘data utility’)? .................................................................... 30 2.2. Reused Data ......................................................................................................................... 30 Are you re-using the described data and how?............................................................... 30 Making data findable, including provisions for metadata ............................................... 30 Making data openly accessible ........................................................................................ 32 Making data interoperable .............................................................................................. 33 Increase data reuse ......................................................................................................... 33 2.3. Allocation of resources ........................................................................................................ 33 2.4. Data Security ........................................................................................................................ 33 2.5. Ethical aspects ...................................................................................................................... 34 2.6. Other .................................................................................................................................... 34 3. SubTask 1.2.1. – Morphological and physical chemical characterization of main agricultural plastics articles used for protected cultivation systems during ageing in fields, and collection practices 35 3.1. Data Summary...................................................................................................................... 35 What is the purpose of the data collection/generation and its relation to the objectives of the project? ................................................................................................................................... 35 What are the types of the described generated/collected data? ................................... 35 What are the formats of the described generated/collected data? ............................... 35 What is the origin of the described data? ....................................................................... 35 What is the expected size of the described data? ........................................................... 36 To whom it might be useful (‘data utility’)? .................................................................... 36 3.2. Reused Data ......................................................................................................................... 36 Are you re-using the described data and how?............................................................... 36 Making data findable, including provisions for metadata ............................................... 36 Making data openly accessible ........................................................................................ 38 Making data interoperable .............................................................................................. 38 Increase data reuse ......................................................................................................... 38 3.3. Allocation of resources ........................................................................................................ 39 3.4. Data Security ........................................................................................................................ 39 3.5. Ethical aspects ...................................................................................................................... 39 D5.4 – Data Management Plan iv 3.6. Other .................................................................................................................................... 39 4. SubTask 1.2.2. – Quantitative and qualitative inventories of end-of life practices for AP ........... 40 4.1. Data Summary...................................................................................................................... 40 What is the purpose of the data collection/generation and its relation to the objectives of the project? ................................................................................................................................... 40 What are the types of the described generated/collected data? ................................... 41 What are the formats of the described generated/collected data? ............................... 41 What is the origin of the described data? ....................................................................... 41 What is the expected size of the described data? ........................................................... 41 To whom it might be useful (‘data utility’)? .................................................................... 41 4.2. Reused Data ......................................................................................................................... 41 Are you re-using the described data and how?............................................................... 41 Making data findable, including provisions for metadata ............................................... 41 Making data openly accessible ........................................................................................ 43 Making data interoperable .............................................................................................. 43 Increase data reuse ......................................................................................................... 43 4.3. Allocation of resources ........................................................................................................ 43 4.4. Data Security ........................................................................................................................ 44 4.5. Ethical aspects ...................................................................................................................... 44 4.6. Other .................................................................................................................................... 44 5. SubTask 1.2.2. – Images and audiovisual on end-of-life management practices. ........................ 45 5.1. Data Summary...................................................................................................................... 45 What is the purpose of the data collection/generation and its relation to the objectives of the project? ................................................................................................................................... 45 What are the types of the described generated/collected data? ................................... 45 What are the formats of the described generated/collected data? ............................... 45 What is the origin of the described data? ....................................................................... 45 What is the expected size of the described data? ........................................................... 45 To whom might it be useful (‘data utility’)? .................................................................... 46 5.2. Reused Data ......................................................................................................................... 46 Are you re-using the described data and how?............................................................... 46 Making data findable, including provisions for metadata ............................................... 46 Making data openly accessible ........................................................................................ 47 D5.4 – Data Management Plan v Making data interoperable .............................................................................................. 48 Increase data reuse ......................................................................................................... 48 5.3. Allocation of resources ........................................................................................................ 48 5.4. Data Security ........................................................................................................................ 48 5.5. Ethical aspects ...................................................................................................................... 49 5.6. Other .................................................................................................................................... 49 6. SubTask 1.2.3. – Quantitative (tabular data) and qualitative (text) description of Mulching film degradation in different case studies in Europe. .................................................................................. 50 6.1. Data Summary...................................................................................................................... 50 What is the purpose of the data collection/generation and its relation to the objectives of the project? ................................................................................................................................... 50 What are the types of the described generated/collected data? ................................... 50 What are the formats of the described generated/collected data? ............................... 50 What is the origin of the described data? ....................................................................... 50 What is the expected size of the described data? ........................................................... 50 To whom might it be useful ('data utility')? .................................................................... 50 6.2. Reused Data ......................................................................................................................... 51 Are you re-using the described data and how?............................................................... 51 Making data findable, including provisions for metadata ............................................... 51 Making data openly accessible ........................................................................................ 52 Making data interoperable .............................................................................................. 52 Increase data reuse ......................................................................................................... 52 6.3. Allocation of resources ........................................................................................................ 52 6.4. Data Security ........................................................................................................................ 53 6.5. Ethical aspects ...................................................................................................................... 53 6.6. Other .................................................................................................................................... 53 7. SubTask 1.2.4. – Quantitative (tabular data) and qualitative (text) description of plastic chemical additives releases .................................................................................................................................. 54 7.1. Data Summary...................................................................................................................... 54 What is the purpose of the data collection/generation and its relation to the objectives of the project? ................................................................................................................................... 54 What are the types of the described generated/collected data? ................................... 55 What are the formats of the described generated/collected data? ............................... 55 D5.4 – Data Management Plan vi What is the origin of the described data? ....................................................................... 55 What is the expected size of the described data? ........................................................... 55 To whom might it be useful ('data utility')? .................................................................... 55 7.2. Reused Data ......................................................................................................................... 55 Are you re-using the described data and how?............................................................... 55 Making data findable, including provisions for metadata ............................................... 55 Making data openly accessible ........................................................................................ 57 Making data interoperable .............................................................................................. 57 Increase data reuse ......................................................................................................... 58 7.3. Allocation of resources ........................................................................................................ 58 7.4. Data Security ........................................................................................................................ 58 7.5. Ethical aspects ...................................................................................................................... 58 7.6. Other .................................................................................................................................... 59 8. SubTask 1.3.1. – Quantitative (tabular data) and qualitative (text) data of agricultural plastic uses in Europe ............................................................................................................................................... 60 8.1. Data Summary...................................................................................................................... 60 What is the purpose of the data collection/generation and its relation to the objectives of the project? ................................................................................................................................... 60 What are the types of the described generated/collected data? ................................... 60 What are the formats of the described generated/collected data? ............................... 60 What is the origin of the described data? ....................................................................... 60 What is the expected size of the described data? ........................................................... 60 To whom might it be useful ('data utility')? .................................................................... 61 8.2. Reused Data ......................................................................................................................... 61 Are you re-using the described data and how?............................................................... 61 Making data findable, including provisions for metadata ............................................... 61 Making data openly accessible ........................................................................................ 62 Making data interoperable .............................................................................................. 62 Increase data reuse ......................................................................................................... 63 8.3. Allocation of resources ........................................................................................................ 63 8.4. Data Security ........................................................................................................................ 63 8.5. Ethical aspects ...................................................................................................................... 63 8.6. Other .................................................................................................................................... 64 D5.4 – Data Management Plan vii 9. SubTask 1.3.2. – Quantitative (tabular data) and qualitative (text) data of agricultural plastic uses in Europe ............................................................................................................................................... 65 9.1. Data Summary...................................................................................................................... 65 What is the purpose of the data collection/generation and its relation to the objectives of the project? ................................................................................................................................... 65 What are the types of the described generated/collected data? ................................... 65 What are the formats of the described generated/collected data? ............................... 65 What is the origin of the described data? ....................................................................... 65 What is the expected size of the described data? ........................................................... 65 To whom might it be useful ('data utility')? .................................................................... 65 9.2. Reused Data ......................................................................................................................... 66 Are you re-using the described data and how?............................................................... 66 Making data findable, including provisions for metadata ............................................... 66 Making data openly accessible ........................................................................................ 67 Making data interoperable .............................................................................................. 67 Increase data reuse ......................................................................................................... 67 9.3. Allocation of resources ........................................................................................................ 67 9.4. Data Security ........................................................................................................................ 68 9.5. Ethical aspects ...................................................................................................................... 68 9.6. Other .................................................................................................................................... 68 10. SubTask 1.4.1. – Catalogue of microplastic test materials ....................................................... 69 10.1. Data Summary...................................................................................................................... 69 What is the purpose of the data collection/generation and its relation to the objectives of the project? ................................................................................................................................... 69 What are the types of the described generated/collected data? ................................... 69 What are the formats of the described generated/collected data? ............................... 69 What is the origin of the described data? ....................................................................... 69 What is the expected size of the described data? ........................................................... 69 To whom might it be useful ('data utility')? .................................................................... 69 10.2. Reused Data ......................................................................................................................... 70 Are you re-using the described data and how?............................................................... 70 Making data findable, including provisions for metadata ............................................... 70 Making data openly accessible ........................................................................................ 71 D5.4 – Data Management Plan viii Making data interoperable .............................................................................................. 71 Increase data reuse ......................................................................................................... 71 10.3. Allocation of resources ........................................................................................................ 71 10.4. Data Security ........................................................................................................................ 72 10.5. Ethical aspects ...................................................................................................................... 72 10.6. Other .................................................................................................................................... 72 11. SubTask 1.4.2. – Protocols for analysis of MNPs and chemical additives in soil samples, water samples and biota samples. .................................................................................................................. 73 11.1. Data Summary...................................................................................................................... 73 What is the purpose of the data collection/generation and its relation to the objectives of the project? ................................................................................................................................... 73 What are the types of the described generated/collected data? ................................... 73 What are the formats of the described generated/collected data? ............................... 73 What is the origin of the described data? ....................................................................... 73 What is the expected size of the described data? ........................................................... 73 To whom might it be useful ('data utility')? .................................................................... 74 11.2. Reused Data ......................................................................................................................... 74 Are you re-using the described data and how?............................................................... 74 Making data findable, including provisions for metadata ............................................... 74 Making data openly accessible ........................................................................................ 75 Making data interoperable .............................................................................................. 75 Increase data reuse ......................................................................................................... 75 11.3. Allocation of resources ........................................................................................................ 76 11.4. Data Security ........................................................................................................................ 76 11.5. Ethical aspects ...................................................................................................................... 76 11.6. Other .................................................................................................................................... 76 12. SubTask 1.4.3. – Protocols for spiking of test soils used in MNP behaviour and ecological effects studies 77 12.1. Data Summary...................................................................................................................... 77 What is the purpose of the data collection/generation and its relation to the objectives of the project? ................................................................................................................................... 77 What are the types of the described generated/collected data? ................................... 77 What are the formats of the described generated/collected data? ............................... 77 D5.4 – Data Management Plan xv 22.2. Reused Data ....................................................................................................................... 127 Are you re-using the described data and how?............................................................. 127 Making data findable, including provisions for metadata ............................................. 127 Making data openly accessible ...................................................................................... 128 Making data interoperable ............................................................................................ 128 Increase data reuse ....................................................................................................... 128 22.3. Allocation of resources ...................................................................................................... 128 22.4. Data Security ...................................................................................................................... 129 22.5. Ethical aspects .................................................................................................................... 129 22.6. Other .................................................................................................................................. 129 23. Task 2.1. – Micro and Nanoplastic contamination in European agricultural soils ................. 130 23.1. Data Summary.................................................................................................................... 130 What is the purpose of the data collection/generation and its relation to the objectives of the project? ................................................................................................................................. 130 What are the types of the described generated/collected data? ................................. 130 What are the formats of the described generated/collected data? ............................. 131 What is the origin of the described data? ..................................................................... 131 What is the expected size of the described data? ......................................................... 131 To whom might it be useful ('data utility')? .................................................................. 131 23.2. Reused Data ....................................................................................................................... 131 Are you re-using the described data and how?............................................................. 131 Making data findable, including provisions for metadata ............................................. 131 Making data openly accessible ...................................................................................... 132 Making data interoperable ............................................................................................ 133 Increase data reuse ....................................................................................................... 133 23.3. Allocation of resources ...................................................................................................... 133 23.4. Data Security ...................................................................................................................... 133 23.5. Ethical aspects .................................................................................................................... 133 23.6. Other .................................................................................................................................. 134 24. SubTask 2.3.1. – MNP transport through soils under variable saturation conditions ........... 135 24.1. Data Summary.................................................................................................................... 135 What is the purpose of the data collection/generation and its relation to the objectives of the project? ................................................................................................................................. 135 D5.4 – Data Management Plan xvi What are the types of the described generated/collected data? ................................. 135 What are the formats of the described generated/collected data? ............................. 135 What is the origin of the described data? ..................................................................... 135 What is the expected size of the described data? ......................................................... 136 To whom might it be useful ('data utility')? .................................................................. 136 24.2. Reused Data ....................................................................................................................... 136 Are you re-using the described data and how?............................................................. 136 Making data findable, including provisions for metadata ............................................. 136 Making data openly accessible ...................................................................................... 137 Making data interoperable ............................................................................................ 137 Increase data reuse ....................................................................................................... 138 24.3. Allocation of resources ...................................................................................................... 138 24.4. Data Security ...................................................................................................................... 138 24.5. Ethical aspects .................................................................................................................... 138 24.6. Other .................................................................................................................................. 138 25. SubTask 1.3.1. – Datasets concerning plastic waste indices .................................................. 139 25.1. Data Summary.................................................................................................................... 139 What is the purpose of the data collection/generation and its relation to the objectives of the project? ................................................................................................................................. 139 What are the types of the described generated/collected data? ................................. 139 What are the formats of the described generated/collected data? ............................. 139 What is the origin of the described data? ..................................................................... 139 What is the expected size of the described data? ......................................................... 139 To whom might it be useful ('data utility')? .................................................................. 140 25.2. Reused Data ....................................................................................................................... 140 Are you re-using the described data and how?............................................................. 140 Making data findable, including provisions for metadata ............................................. 140 Making data openly accessible ...................................................................................... 141 Making data interoperable ............................................................................................ 142 Increase data reuse ....................................................................................................... 142 25.3. Allocation of resources ...................................................................................................... 142 25.4. Data Security ...................................................................................................................... 142 25.5. Ethical aspects .................................................................................................................... 142 D5.4 – Data Management Plan xvii 25.6. Other .................................................................................................................................. 143 26. SubTask 3.2.1. – Changes in microbial community composition and activity after exposure to microplastics in field plot and mesocosm experiments ...................................................................... 144 26.1. Data Summary.................................................................................................................... 146 What is the purpose of the data collection/generation and its relation to the objectives of the project? ................................................................................................................................. 146 What are the types of the described generated/collected data? ................................. 146 What are the formats of the described generated/collected data? ............................. 146 What is the origin of the described data? ..................................................................... 146 What is the expected size of the described data? ......................................................... 146 To whom might it be useful ('data utility')? .................................................................. 146 26.2. Reused Data ....................................................................................................................... 146 Are you re-using the described data and how?............................................................. 146 Making data findable, including provisions for metadata ............................................. 146 Making data openly accessible ...................................................................................... 148 Making data interoperable ............................................................................................ 148 Increase data reuse ....................................................................................................... 148 26.3. Allocation of resources ...................................................................................................... 149 26.4. Data Security ...................................................................................................................... 149 26.5. Ethical aspects .................................................................................................................... 149 26.6. Other .................................................................................................................................. 149 27. SubTask 3.2.2. – Variability in microbial community composition in soils with varying microplastic concentrations ................................................................................................................ 150 27.1. Data Summary.................................................................................................................... 151 What is the purpose of the data collection/generation and its relation to the objectives of the project? ................................................................................................................................. 151 What are the types of the described generated/collected data? ................................. 151 What are the formats of the described generated/collected data? ............................. 151 What is the origin of the described data? ..................................................................... 151 What is the expected size of the described data? ......................................................... 151 To whom might it be useful ('data utility')? .................................................................. 151 27.2. Reused Data ....................................................................................................................... 151 Are you re-using the described data and how?............................................................. 151 D5.4 – Data Management Plan xviii Making data findable, including provisions for metadata ............................................. 151 Making data openly accessible ...................................................................................... 153 Increase data reuse ....................................................................................................... 153 27.3. Allocation of resources ...................................................................................................... 153 27.4. Data Security ...................................................................................................................... 154 27.5. Ethical aspects .................................................................................................................... 154 27.6. Other .................................................................................................................................. 154 28. SubTask 3.3.1. – Ecotoxicological responses of soil invertebrates after exposure to microplastic in single species test ............................................................................................................................ 155 28.1. Data Summary.................................................................................................................... 158 What is the purpose of the data collection/generation and its relation to the objectives of the project? ................................................................................................................................. 158 What are the types of the described generated/collected data? ................................. 158 What are the formats of the described generated/collected data? ............................. 158 What is the origin of the described data? ..................................................................... 158 What is the expected size of the described data? ......................................................... 158 To whom might it be useful ('data utility')? .................................................................. 158 28.2. Reused Data ....................................................................................................................... 158 Are you re-using the described data and how?............................................................. 158 Making data findable, including provisions for metadata ............................................. 158 Making data openly accessible ...................................................................................... 160 Making data interoperable ............................................................................................ 161 Increase data reuse ....................................................................................................... 161 28.3. Allocation of resources ...................................................................................................... 161 28.4. Data Security ...................................................................................................................... 161 28.5. Ethical aspects .................................................................................................................... 161 28.6. Other .................................................................................................................................. 162 29. SubTask 3.3.2. – Changes in soil invertebrate communities and properties during mesocosm experiments with added microplastics ............................................................................................... 163 29.1. Data Summary.................................................................................................................... 164 What is the purpose of the data collection/generation and its relation to the objectives of the project? ................................................................................................................................. 164 What are the types of the described generated/collected data? ................................. 164 D5.4 – Data Management Plan xix What are the formats of the described generated/collected data? ............................. 164 What is the origin of the described data? ..................................................................... 164 What is the expected size of the described data? ......................................................... 164 To whom might it be useful ('data utility')? .................................................................. 164 29.2. Reused Data ....................................................................................................................... 164 Are you re-using the described data and how?............................................................. 164 Making data findable, including provisions for metadata ............................................. 164 Making data openly accessible ...................................................................................... 166 Making data interoperable ............................................................................................ 166 Increase data reuse ....................................................................................................... 166 29.3. Allocation of resources ...................................................................................................... 166 29.4. Data Security ...................................................................................................................... 167 29.5. Ethical aspects .................................................................................................................... 167 29.6. Other .................................................................................................................................. 167 30. SubTask 3.3.3. – Soil invertebrate communities in experimental fields and European agricultural fields with varying loads of microplastics ........................................................................ 168 30.1. Data Summary.................................................................................................................... 169 What is the purpose of the data collection/generation and its relation to the objectives of the project? ................................................................................................................................. 169 What are the types of the described generated/collected data? ................................. 169 What are the formats of the described generated/collected data? ............................. 169 What is the origin of the described data? ..................................................................... 169 What is the expected size of the described data? ......................................................... 169 To whom might it be useful ('data utility')? .................................................................. 169 30.2. Reused Data ....................................................................................................................... 170 Are you re-using the described data and how?............................................................. 170 Making data findable, including provisions for metadata ............................................. 170 Making data openly accessible ...................................................................................... 171 Making data interoperable ............................................................................................ 171 Increase data reuse ....................................................................................................... 172 30.3. Allocation of resources ...................................................................................................... 172 30.4. Data Security ...................................................................................................................... 172 30.5. Ethical aspects .................................................................................................................... 172 D5.4 – Data Management Plan xx 30.6. Other .................................................................................................................................. 173 31. SubTask 2.3.3. – Uptake of MNP by biota and crops ............................................................. 174 31.1. Data Summary.................................................................................................................... 174 What is the purpose of the data collection/generation and its relation to the objectives of the project? ................................................................................................................................. 174 What are the types of the described generated/collected data? ................................. 174 What are the formats of the described generated/collected data? ............................. 174 What is the origin of the described data? ..................................................................... 174 What is the expected size of the described data? ......................................................... 174 To whom might it be useful ('data utility')? .................................................................. 175 31.2. Reused Data ....................................................................................................................... 175 Are you re-using the described data and how?............................................................. 175 Making data findable, including provisions for metadata ............................................. 175 Making data openly accessible ...................................................................................... 176 Making data interoperable ............................................................................................ 177 Increase data reuse ....................................................................................................... 177 31.3. Allocation of resources ...................................................................................................... 177 31.4. Data Security ...................................................................................................................... 177 31.5. Ethical aspects .................................................................................................................... 178 31.6. Other .................................................................................................................................. 178 32. Task 3.1. – Changes in soil physicochemical properties by microplastics .............................. 179 32.1. Data Summary.................................................................................................................... 181 What is the purpose of the data collection/generation and its relation to the objectives of the project? ................................................................................................................................. 181 What are the types of the described generated/collected data? ................................. 181 What are the formats of the described generated/collected data? ............................. 181 What is the origin of the described data? ..................................................................... 181 What is the expected size of the described data? ......................................................... 181 To whom might it be useful ('data utility')? .................................................................. 181 32.2. Reused Data ....................................................................................................................... 181 Are you re-using the described data and how?............................................................. 181 Making data findable, including provisions for metadata ............................................. 181 Making data openly accessible ...................................................................................... 183 D5.4 – Data Management Plan xxi Making data interoperable ............................................................................................ 183 Increase data reuse ....................................................................................................... 183 32.3. Allocation of resources ...................................................................................................... 184 32.4. Data Security ...................................................................................................................... 184 32.5. Ethical aspects .................................................................................................................... 184 32.6. Other .................................................................................................................................. 184 D5.4 – Data Management Plan xxii About the PAPILLONS project PAPILLONS (Plastics in Agricultural Production: Impacts, Lifecycles and LONg-term Sustainability) aims to fill critical knowledge gaps on the sources, behaviour, and long-term ecological and socioeconomic impacts of microand nanoplastic (MNP) derived from agricultural plastics (AP) in European soils and provide the scientific background to enable policy, agricultural, and industrial innovation towards sustainable farm production systems. Funded by the European Commission (EC) under the framework of the Horizon 2020 (H2020) programme, PAPILLONS represents a consortium of 20 partners from 12 countries. It is a transdisciplinary cutting-edge research program and brings together Europe’s leading experts on MNPs in agricultural soils. More information about the project can be found at: www.papillons-h2020.eu D5.4 – Data Management Plan xxiii About this Deliverable This report corresponds to the final Data Management Plan – i.e. deliverable D5.4 and encompasses a comprehensive overview of the data collected and/or generated by the PAPILLONS Consortium partners to assess impacts of micro-scale plastics on soil properties, fauna and plants. The main objective is to fill knowledge gaps on the sources, behaviour, and long-term ecological and socioeconomic impacts of MNPs from AP in European soils and provide the scientific background to enable policy, agricultural and industrial innovation towards sustainable farm production systems. Through novel data collection, generation and analysis PAPILLONS will build a Knowledge Hub to fill these gaps using co-development, sharing and exploitation of AP and MNPs data. For the final Data Management Plan, PAPILLONS Consortium decided to use Argos - an open-source tool developed by OpenAIRE fully aligned with the OPEN and FAIR principles. This report describes the 32 datasets produced throughout the PAPILLONS project implementation. For direct access to archived datasets please also check the PAPILLONS community on Zenodo. List of abbreviations AP Agricultural plastic DOI Digital Object Identifier EC European Commission H2020 Horizon 2020 KB Kilobyte MB Megabyte MNP Microand nanoplastic MP Microplastic NP Nanoplastic PAPILLONS Plastic in Agricultural Production: Impact, Lifecycles and LONg-term Sustainability D5.4 – Data Management Plan 24 1. Subtask 1.1.1. – Chemical composition of main agricultural articles used for protected cultivation systems Task: Analysis of polymeric composition and chemical additives This dataset reports the detailed analysis of the possible chemical additives present in the formulations of the agricultural plastics selected in the frame of Task 1.1. The output of this activity consists in the development of a database of the polymer formulations representative of the AP, including type of additives. Identification of additives has been carried out through the ‘suspected target’ approach following a priority list elaborated in collaboration with other partners and stakeholders (Task 1.1.1). Clusters of tabular data (with metadata including variable labels, code labels and definition of missing value) reporting commercial name of analysed products, name of chemical constituents (both polymer and identified chemical additives), CAS number of identified chemical constituents, quantitative or semi-quantitative estimation of amounts of chemical constituted per mass of the bulk product. Template: Horizon 2020 Type: Dataset 1.1. Data Summary What is the purpose of the data collection/generation and its relation to the objectives of the project? • To obtain information • To share information What are the types of the described generated/collected data? • Sample or specimen data • Experimental (e.g. • Gene sequencing data) Primary data regarding the characterisation of chemical composition and physical properties of agricultural plastics are collected, generated, and shared. What are the formats of the described generated/collected data? • Text files • Numerical • Software D5.4 – Data Management Plan 31 Will you make the metadata available free-of-charge? Yes Will your metadata be harvestable? Yes Will you use naming conventions for your data? Yes Please provide more details and examples on used naming conversions. https://zenodo.org/records/10995989 Mulch films consisting of three different conventional linear low-density polyethylene (LLDPE, coded as M_PE) and four different biodegradable (PBAT-based, coded as M_BIO) films. Will you provide clear version numbers for your data? No Will you provide persistent identifiers for the described data? Yes Persistent identifiers DOI Will you provide searchable metadata for the described data? Yes What services will you use to provide searchable metadata? Registry/Catalogue Please provide URL/Name for the used searchable metadata https://zenodo.org Zenodo Will you use standardised formats for the described data? Yes Standard file formats for tabular data (.txt, .csv) and image data (.jpg). Some data will be uploaded as MS Excel format (.xslx). However, they are included in a .rar folder, to be open with software suites including WinZip, WinRAR, etc. Are the file formats you will use open? Yes D5.4 – Data Management Plan 32 Standard file formats for tabular data (.txt, .csv) and image data (.jpg). Some data will be uploaded as MS Excel format (.xslx). Do supported open-source tools exist for accessing the data? No Please describe if data require proprietary tools to access the data. Data are included in a .rar folder, to be open with software suites including WinZip, WinRAR, etc. Will you provide metadata describing the quality of the data? No Making data openly accessible Are there ethical or legal issues that can impact sharing the described data? No Will the described data be openly accessible? Yes How will the data be made available? Repository of Archive https://zenodo.org/records/10995989 Please provide URL/Name of used data repositories https://zenodo.org/records/10995989 Zenodo Is the storage sufficiently secure for the data and does the storage provide backup and recovery procedures? Secure with backup and recovery Are there any methods or tools required to access the described data? No Some files will require proprietary software to access, such as MS Office suite for .xls files. Data are included in a .rar folder, to be open with software suites including WinZip, WinRAR, etc. Will you also make auxiliary data that may be of interest to researchers available? No auxiliary data D5.4 – Data Management Plan 33 Making data interoperable Will you use a controlled vocabulary for the described data? No Will you provide a mapping to more commonly used ontologies? No Increase data reuse When do you plan to make the described data available for reuse? After article publication Do you have documented procedures for quality assurance of the described data? No Describe the data quality assurance processes. Periodical calibration of the equipment, standardized procedure for sample preparation and analysis, replicated testing. Will you provide any support for data reuse? No 2.3. Allocation of resources How will the cost of making the described data findable, accessible, interoperable, and reusable be covered? Collaboration with other Projects Will you identify a data manager to manage the described data? If not, who will be responsible for the management of the data? No Identify the people or roles that will be responsible for the management of the described data. Pierfrancesco Cerruti (orcid:0000-0003-0822-2866) How do you intend to ensure data reuse after your project finishes? Data Center Archive Storage Zenodo 2.4. Data Security Where do you plan to keep the described data? D5.4 – Data Management Plan 34 Kept on secure, managed storage for limited time. https://zenodo.org/records/10995989 2.5. Ethical aspects Are there any ethical or legal issues that can have an impact on data sharing? No Are the described data sensitive? No Are the described data personal? No 2.6. Other Do you make use of other procedures for data management? No D5.4 – Data Management Plan 35 3. SubTask 1.2.1. – Morphological and physical chemical characterization of main agricultural plastics articles used for protected cultivation systems during ageing in fields, and collection practices Clusters of tabular data and images reporting level and typology of ageing of analysed materials, value of measured property. Estimated environmental losses during ageing. The associated dataset available on Zenodo includes data generated upon the implementation of the ST 1.2.1 "Analysis of degradation and fragmentation of AP and transfer of MNP to soil". The activities dealt with the study of degradation and fragmentation from weathering and agricultural practices of conventional and biodegradable AP relevant for transfer of MNP to soil (during both use and end of life). In particular, the experimental data refer to characterization of biodegradable mulch films, pristine (coded M-BIO0) or subjected to photo-oxidative weathering (M-BIO192), as well as the same samples buried in soil for varying time periods, up to 353 days. The folders included contain gel permeation chromatography (GPC) and Matrix-assisted Laser Desorption Ionization (MALDI-TOF) data, which account for the change in film molecular weight upon soil burial. Furthermore, Differential Scanning Calorimetry (DSC) data and Scanning Electron Microscopy (SEM) and Water Contact Angle (WCA) images of some selected soil-buried samples are also provided. Template: Horizon 2020 Type: Dataset 3.1. Data Summary What is the purpose of the data collection/generation and its relation to the objectives of the project? To obtain information What are the types of the described generated/collected data? • Sample or specimen data • Other What are the formats of the described generated/collected data? Text files What is the origin of the described data? Primary data D5.4 – Data Management Plan 36 What is the expected size of the described data? MG (megabyte) Less than 100 Mb To whom it might be useful (‘data utility’)? • Researchers • Research communities • Decision makers 3.2. Reused Data Are you re-using the described data and how? No Making data findable, including provisions for metadata Will you use metadata to describe the data? Yes DataCite Metadata Schema Will your metadata use standardised vocabularies? Yes a. https://opendefinition.org/ license b. https://www.crossref.org/services/funder-registry/ funders Will you make the metadata available free-of-charge? Yes Will your metadata be harvestable? Yes Will you use naming conventions for your data? Yes Please provide more details and examples on used naming conversions. D5.4 – Data Management Plan 37 https://zenodo.org/records/11195867 Mulch films consisting of biodegradable, PBAT-based, polymer formulations, pristine (coded as MBIO0) or subjected to photo-oxidative weathering for 192h (M-BIO192), as well as the same samples buried in soil for varying time periods, up to 353 days. Will you provide clear version numbers for your data? No Will you provide persistent identifiers for the described data? Yes Persistent identifiers DOI Will you provide searchable metadata for the described data? No Please provide URL/Name for the used searchable metadata https://zenodo.org/records/11195867 Zenodo Will you use standardised formats for the described data? Yes Standard file formats for tabular data (.txt, .csv) and image data (.jpg, .tif). However, they are included in a .zip folder, to be opened with software suites including WinZip, WinRAR, etc. Are the file formats you will use open? Yes Standard file formats for tabular data (.txt, .csv) and image data (.jpg, .tif). Do supported open-source tools exist for accessing the data? No Data are included in a .rar folder, to be open with software suites including WinZip, WinRAR, etc. Please describe if data require proprietary tools to access the data. Data are included in a .rar folder, to be open with software suites including WinZip, WinRAR, etc. Will you provide metadata describing the quality of the data? No D5.4 – Data Management Plan 38 Making data openly accessible Are there ethical or legal issues that can impact sharing the described data? No Will the described data be openly accessible? Yes How will the data be made available? Repository of Archive Zenodo Please provide URL/Name of used data repositories https://zenodo.org/records/11195867 Zenodo Is the storage sufficiently secure for the data and does the storage provide backup and recovery procedures? Secure with backup and recovery Are there any methods or tools required to access the described data? No Will you also make auxiliary data that may be of interest to researchers available? No auxiliary data Making data interoperable Will you use a controlled vocabulary for the described data? No Will you provide a mapping to more commonly used ontologies? No Increase data reuse When do you plan to make the described data available for reuse? After article publication Do you have documented procedures for quality assurance of the described data? No D5.4 – Data Management Plan 39 Describe the data quality assurance processes Periodical calibration of the equipment, standardized procedure for sample preparation and analysis, replicated testing. Will you provide any support for data reuse? No 3.3. Allocation of resources How will the cost of making the described data findable, accessible, interoperable and reusable be covered? Collaboration with other Projects Will you identify a data manager to manage the described data? If not who will be responsible for the management of the data? No How do you intend to ensure data reuse after your project finishes? Data Center Archive Storage Zenodo 3.4. Data Security Where do you plan to keep the described data? Kept on secure, managed storage for limited time https://zenodo.org/records/11195867 3.5. Ethical aspects Are there any ethical or legal issues that can have an impact on data sharing? No Are the described data sensitive? No Are the described data personal? No 3.6. Other Do you make use of other procedures for data management? No D5.4 – Data Management Plan 40 4. SubTask 1.2.2. – Quantitative and qualitative inventories of endof life practices for AP Task: End-of-life practices sourcing plastic pollution to soil Tabular data (and metadata) listing of observed practices spatially referenced data of practices, quantitative assessment of plastic tonnages addressed to different practices, rank of practice as a potential source of plastic pollution. This research involved the collection and thorough analysis of both virgin and used Agricultural Plastic (AP), alongside Agricultural Plastic Waste (APW) samples from Greece. The datasets provided include: 1. Quantitative and qualitative inventories of end-of-life practices for AP: This dataset comprises a table documenting the qualitative inventories of collected samples, as well as another table presenting mechanical testing results for quantitative analysis. 2. Images and audiovisual on end-of-life management practices: This dataset encompasses a series of photos illustrating virgin APs and collected APW. Subtask 1.2.2: End-of-life Practices Sourcing Plastic Pollution to Soil For this subtask, APW was gathered from both Greece and Italy. The dataset includes photos of the collected APW and highlights mismanagement practices leading to APW pollution. 3. Mismanagement and Collection of AP Residues from Regions Related to AP Waste (APW) Mismanagement, Potentially Contaminated by MNP - Greece. 4. Collection of AP Residues from Regions Related to AP Waste (APW) Mismanagement, Potentially Contaminated by MNP - Italy. Template: Horizon 2020 Type: Dataset 4.1. Data Summary What is the purpose of the data collection/generation and its relation to the objectives of the project? • To obtain information • To make informed decisions D5.4 – Data Management Plan 47 Persistent identifiers DOI Will you provide searchable metadata for the described data? Yes Metadata is indexed and searchable directly in Zenodo’ s search engine. immediately after publishing and sent to DataCite servers and indexed. What services will you use to provide searchable metadata? Registry/Catalogue Please provide URL/Name for the used searchable metadata a. https://zenodo.org/records/11066458 Zenodo b. https://zenodo.org/records/11066395 Zenodo Will you use standardised formats for the described data? Yes Are the file formats you will use open? Yes Do supported open-source tools exist for accessing the data? Yes Will you provide metadata describing the quality of the data? No Making data openly accessible Are there ethical or legal issues that can impact sharing the described data? No Will the described data be openly accessible? Yes How will the data be made available? Repository of Archive D5.4 – Data Management Plan 48 Is the storage sufficiently secure for the data and does the storage provide backup and recovery procedures? Secure with backup and recovery Are there any methods or tools required to access the described data? No Will you also make auxiliary data that may be of interest to researchers available? At end of project Making data interoperable Will you use a controlled vocabulary for the described data? No Will you provide a mapping to more commonly used ontologies? No Increase data reuse When do you plan to make the described data available for reuse? After article publication Do you have documented procedures for quality assurance of the described data? No 5.3. Allocation of resources How will the cost of making the described data findable, accessible, interoperable, and reusable be covered? Collaboration with other Projects Will you identify a data manager to manage the described data? If not, who will be responsible for the management of the data? Yes How do you intend to ensure data reuse after your project finishes? Data Center Archive Storage 5.4. Data Security Where do you plan to keep the described data? Kept on secure, managed storage for limited time. D5.4 – Data Management Plan 49 5.5. Ethical aspects Are there any ethical or legal issues that can have an impact on data sharing? No Are the described data sensitive? No Are the described data personal? No 5.6. Other Do you make use of other procedures for data management? No D5.4 – Data Management Plan 50 6. SubTask 1.2.3. – Quantitative (tabular data) and qualitative (text) description of Mulching film degradation in different case studies in Europe. The dataset "Biodegradable mulching film degradation in soil in Italy" " and the Image "Biodegradable mulching film degradation in soil in Italy" show the visible degradation process of biodegradable mulching samples in the soil at the experimental field of the University of Bari (Italy). https://zenodo.org/records/11048438 Template: Horizon 2020 Type: Dataset 6.1. Data Summary What is the purpose of the data collection/generation and its relation to the objectives of the project? To obtain information What are the types of the described generated/collected data? Other What are the formats of the described generated/collected data? Text files What is the origin of the described data? Other What is the expected size of the described data? MB (megabyte) To whom might it be useful ('data utility')? • Researchers • Research communities • Decision makers D5.4 – Data Management Plan 51 6.2. Reused Data Are you re-using the described data and how? No Making data findable, including provisions for metadata Will you use metadata to describe the data? Yes Will your metadata use standardised vocabularies? No Will you make the metadata available free-of-charge? Yes Will your metadata be harvestable? Yes Will you use naming conventions for your data? Yes Will you provide clear version numbers for your data? Yes Will you provide persistent identifiers for the described data? Yes Will you provide searchable metadata for the described data? Yes What services will you use to provide searchable metadata? Registry/Catalogue Will you use standardised formats for the described data? Yes Are the file formats you will use open? Yes Do supported open-source tools exist for accessing the data? Yes D5.4 – Data Management Plan 52 Making data openly accessible Will the described data be openly accessible? Yes How will the data be made available? Repository of Archive Is the storage sufficiently secure for the data and does the storage provide backup and recovery procedures? Secure with backup and recovery Are there any methods or tools required to access the described data? No Making data interoperable Will you use a controlled vocabulary for the described data? No Will you provide a mapping to more commonly used ontologies? No Increase data reuse When do you plan to make the described data available for reuse? After article publication Do you have documented procedures for quality assurance of the described data? No 6.3. Allocation of resources How will the cost of making the described data findable, accessible, interoperable, and reusable be covered? Collaboration with other Projects Will you identify a data manager to manage the described data? If not, who will be responsible for the management of the data? Yes How do you intend to ensure data reuse after your project finishes? Data Center Archive Storage D5.4 – Data Management Plan 53 6.4. Data Security Where do you plan to keep the described data? Kept on secure, managed storage for limited time. 6.5. Ethical aspects Are there any ethical or legal issues that can have an impact on data sharing? No Are the described data sensitive? No Are the described data personal? No 6.6. Other Do you make use of other procedures for data management? No D5.4 – Data Management Plan 54 7. SubTask 1.2.4. – Quantitative (tabular data) and qualitative (text) description of plastic chemical additives releases Task: Release of AP chemical additives during ageing. Clusters of tabular data (with metadata including variable labels, code labels and definition of missing value) reporting data of releases of selected chemical additives during ageing of agricultural plastics. The folder "HPLC-ESI-MS data on the characterization of mulching film additives.rar" available on Zenodo includes liquid chromatography-mass spectrometry raw data (as .txt files) of the analyses of the additives carried out on two biodegradable mulch films (PBAT-based, coded as BIO). In particular, data regarding BIOIT-0 and BIOEL-0 refer to two pristine film samples, while those BIOIT-192 and BIOEL-192 are related to the same samples subjected to a 192-hour aging carried out by artificial solar light irradiation at 60 °C. Full scan and quantitative analysis runs are included. Furthermore, the experimental HPLC-ESI-MS runs carried out on varying concentration mixtures of standard compounds typically used as polymer additives has been included: DioxyBenzone (cas:131-53-3; formula: C14H12O4; MW:244,25 g/mol) Triethyl O-Acetiylcitrate (cas:77-89-4; formula: C14H22O8; MW: 318,32 g/mol) 2-Hydroxy-4-(octyloxy) benzophenone (cas: 1843-05-6; formula: C21H26O3; MW: 326,43 g/mol) Octyl 3-Octyloxiraneoctanoic Acid (cas: 106-84-3; formula: C26H50O3; MW: 410,67 g/mol) Tris(2,4-tert-butylphenyl) phosphite (cas: 31570-04-4; formula: C42H63O3P; MW: 646,92 g/mol) cis-13-Docosenoamide (cas: 112-84-5; formula: C22H43NO; MW: 337,58 g/mol) 12-Hydroxystearic Acid (cas: 106-14-9; formula: C18H36O3; MW: 300,48 g/mol) 2,2,6,6-tetramethyl-4-piperidinol (cas: 2403-88-5; formula: C9H19NO; MW: 157,25 g/mol) 2-(4,6-Diphenyl-1,3,5-triazin-2-yl)-5-[(hexyl)oxy]-phenol (cas: 147315-50-2; formula: C27H27N3O2; MW: 425,52 g/mol) Template: Horizon 2020 Type: Dataset 7.1. Data Summary What is the purpose of the data collection/generation and its relation to the objectives of the project? To obtain information D5.4 – Data Management Plan 55 What are the types of the described generated/collected data? • sample or specimen data • Other Primary HPLC-ESI-MS data on the characterization of mulching film additives. What are the formats of the described generated/collected data? Text files .txt files in a .rar folder. What is the origin of the described data? Primary data What is the expected size of the described data? MB (megabyte) Size is less than 10 Mb. To whom might it be useful ('data utility')? • Researchers • Research communities • Decision makers 7.2. Reused Data Are you re-using the described data and how? No Making data findable, including provisions for metadata Will you use metadata to describe the data? Yes DataCite Metadata Schema all data are .txt format. Will your metadata use standardised vocabularies? Yes Please provide URL/Description of used vocabularies D5.4 – Data Management Plan 56 a. https://opendefinition.org/ license b. https://www.crossref.org/services/funder-registry/ funders Will you make the metadata available free-of-charge? Yes yes, the data folder is available on Zenodo Will your metadata be harvestable? Yes https://zenodo.org/oai2d Will you use naming conventions for your data? Yes Will you provide clear version numbers for your data? No Will you provide persistent identifiers for the described data? Yes Persistent identifiers DOI Will you provide searchable metadata for the described data? Yes https://zenodo.org/api/records/ What services will you use to provide searchable metadata? Registry/Catalogue Will you use standardised formats for the described data? Yes data are archived in a .rar folder. Are the file formats you will use open? Yes all files are .txt file formats. D5.4 – Data Management Plan 63 No Will you provide a mapping to more commonly used ontologies? No Increase data reuse When do you plan to make the described data available for reuse? After article publication What internationally recognised licence(s) will you use for the described data? Creative Commons Attribution 4.0 International Do you have documented procedures for quality assurance of the described data? No 8.3. Allocation of resources How will the cost of making the described data findable, accessible, interoperable, and reusable be covered? Collaboration with other Projects Will you identify a data manager to manage the described data? If not, who will be responsible for the management of the data? No How do you intend to ensure data reuse after your project finishes? Data Center Archive Storage Zenodo 8.4. Data Security Where do you plan to keep the described data? Kept on secure, managed storage for limited time. Zenodo 8.5. Ethical aspects Are there any ethical or legal issues that can have an impact on data sharing? No Are the described data sensitive? D5.4 – Data Management Plan 64 No Are the described data personal? No 8.6. Other Do you make use of other procedures for data management? No D5.4 – Data Management Plan 65 9. SubTask 1.3.2. – Quantitative (tabular data) and qualitative (text) data of agricultural plastic uses in Europe The quantities of agricultural plastic waste across diverse agricultural applications (greenhouse covering films, mulching films, low tunnels films, nets, irrigation pipes, agrochemical containers, bags for fertilizers, and support equipment for vineyards) are mapped by means of GIS at the NUTS 2 regional level (EUROSTAT). The dataset Embargoed "Agricultural plastic waste in Italy-Greece-SpainPortugal" is present in Zenodo. The data are embargoed because a paper is preparing. Template: Horizon 2020 Type: Dataset 9.1. Data Summary What is the purpose of the data collection/generation and its relation to the objectives of the project? To obtain information What are the types of the described generated/collected data? Other What are the formats of the described generated/collected data? Text files What is the origin of the described data? Other What is the expected size of the described data? MB (megabyte) To whom might it be useful ('data utility')? • Researchers • Research communities • Decision makers D5.4 – Data Management Plan 66 9.2. Reused Data Are you re-using the described data and how? No Making data findable, including provisions for metadata Will you use metadata to describe the data? Yes Will your metadata use standardised vocabularies? No Will you make the metadata available free-of-charge? Yes Will your metadata be harvestable? Yes Will you use naming conventions for your data? Yes Will you provide clear version numbers for your data? Yes Will you provide persistent identifiers for the described data? Yes Will you provide searchable metadata for the described data? Yes What services will you use to provide searchable metadata? Registry/Catalogue Will you use standardised formats for the described data? Yes Are the file formats you will use open? Yes Do supported open-source tools exist for accessing the data? Yes D5.4 – Data Management Plan 67 Making data openly accessible Will the described data be openly accessible? Yes How will the data be made available? Repository of Archive Is the storage sufficiently secure for the data and does the storage provide backup and recovery procedures? Secure with backup and recovery Are there any methods or tools required to access the described data? No Making data interoperable Will you use a controlled vocabulary for the described data? No Will you provide a mapping to more commonly used ontologies? No Increase data reuse When do you plan to make the described data available for reuse? After article publication Do you have documented procedures for quality assurance of the described data? No 9.3. Allocation of resources How will the cost of making the described data findable, accessible, interoperable, and reusable be covered? Collaboration with other Projects Will you identify a data manager to manage the described data? If not, who will be responsible for the management of the data? Yes How do you intend to ensure data reuse after your project finishes? Data Center Archive Storage D5.4 – Data Management Plan 68 9.4. Data Security Where do you plan to keep the described data? Kept on secure, managed storage for limited time. 9.5. Ethical aspects Are there any ethical or legal issues that can have an impact on data sharing? No Are the described data sensitive? No Are the described data personal? No 9.6. Other Do you make use of other procedures for data management? No D5.4 – Data Management Plan 69 10. SubTask 1.4.1. – Catalogue of microplastic test materials Task: Production of MNP reference materials PDF files containing written descriptions and images of test materials, figures and tabular data detailing the particle size distribution and chemical characterisation for each batch of test materials. This is currently being finalised as part of a submitted manuscript and will be uploaded to the PAPILLONS Zenodo community in May 2024. Template: Horizon 2020 Type: Dataset 10.1. Data Summary What is the purpose of the data collection/generation and its relation to the objectives of the project? To obtain information What are the types of the described generated/collected data? Other What are the formats of the described generated/collected data? Text files What is the origin of the described data? Other What is the expected size of the described data? MB (megabyte) To whom might it be useful ('data utility')? • Researchers • Research communities • Decision makers D5.4 – Data Management Plan 70 10.2. Reused Data Are you re-using the described data and how? No Making data findable, including provisions for metadata Will you use metadata to describe the data? Yes Will your metadata use standardised vocabularies? No Will you make the metadata available free-of-charge? Yes Will your metadata be harvestable? Yes Will you use naming conventions for your data? Yes Will you provide clear version numbers for your data? Yes Will you provide persistent identifiers for the described data? Yes Persistent identifiers DOI Will you provide searchable metadata for the described data? Yes What services will you use to provide searchable metadata? Registry/Catalogue Will you use standardised formats for the described data? Yes Are the file formats you will use open? Yes D5.4 – Data Management Plan 71 Do supported open-source tools exist for accessing the data? Yes Making data openly accessible Will the described data be openly accessible? Yes How will the data be made available? Repository of Archive Is the storage sufficiently secure for the data and does the storage provide backup and recovery procedures? Secure with backup and recovery Are there any methods or tools required to access the described data? No Making data interoperable Will you use a controlled vocabulary for the described data? No Will you provide a mapping to more commonly used ontologies? No Increase data reuse When do you plan to make the described data available for reuse? After article publication Do you have documented procedures for quality assurance of the described data? No 10.3. Allocation of resources How will the cost of making the described data findable, accessible, interoperable, and reusable be covered? Collaboration with other Projects Will you identify a data manager to manage the described data? If not, who will be responsible for the management of the data? Yes D5.4 – Data Management Plan 72 How do you intend to ensure data reuse after your project finishes? Data Center Archive Storage 10.4. Data Security Where do you plan to keep the described data? Kept on secure, managed storage for limited time 10.5. Ethical aspects Are there any ethical or legal issues that can have an impact on data sharing? No Are the described data sensitive? No Are the described data personal? No 10.6. Other Do you make use of other procedures for data management? No D5.4 – Data Management Plan 79 https://zenodo.org/ Will you use standardised formats for the described data? Yes Are the file formats you will use open? Yes Do supported open-source tools exist for accessing the data? Yes Making data openly accessible Are there ethical or legal issues that can impact sharing the described data? No Will the described data be openly accessible? Yes How will the data be made available? Other https://zenodo.org/ Please provide URL/Name of used data repositories https://zenodo.org/ Zenodo Is the storage sufficiently secure for the data and does the storage provide backup and recovery procedures? Secure with backup and recovery Are there any methods or tools required to access the described data? No Making data interoperable Will you use a controlled vocabulary for the described data? No Will you provide a mapping to more commonly used ontologies? No D5.4 – Data Management Plan 80 Increase data reuse When do you plan to make the described data available for reuse? After article publication Do you have documented procedures for quality assurance of the described data? No 12.3. Allocation of resources How will the cost of making the described data findable, accessible, interoperable, and reusable be covered? Collaboration with other Projects Will you identify a data manager to manage the described data? If not, who will be responsible for the management of the data? Yes How do you intend to ensure data reuse after your project finishes? Data Center Archive Storage 12.4. Data Security Where do you plan to keep the described data? Kept on secure, managed storage for limited time. 12.5. Ethical aspects Are there any ethical or legal issues that can have an impact on data sharing? No Are the described data sensitive? No Are the described data personal? No 12.6. Other Do you make use of other procedures for data management? No D5.4 – Data Management Plan 81 13. Subask 2.2.1. – Micro and Nanoplastic contamination and distribution from field plot case studies Task: Field plot experiments of MNP behaviour and transport Clusters of tabular data (with metadata including variable labels, code labels and definition of missing value, experimental design description) reporting numbers and masses of micro and nanoplastics in European soils (including morphologic and chemical composition of particles • The dataset on “Plastic additive determination in soil collected from the field plot study” pertaining to sub-task “SubTask 2.2.1 - Micro and Nanoplastic contamination and distribution in soils from field plot case studies is currently completed in proportion of 50% percent covering the following elements: i) Pre-sampling samples from the German field plot ii) samples from Germany, Spain and Finland collected during 2022 iii) samples from Spain collected during 2023 The expected delivery date of the corresponding datasets on PAPILLONS Zenodo Community is during 12/2024. The samples were collected by our PAPILLONS partners. Quality assurance measures were in place during analysis including calibration curves, blank measurements and use of validated methods. Template: Horizon 2020 Type: Dataset 13.1. Data Summary What is the purpose of the data collection/generation and its relation to the objectives of the project? To obtain information What are the types of the described generated/collected data? Other What are the formats of the described generated/collected data? Text files D5.4 – Data Management Plan 82 What is the origin of the described data? Other What is the expected size of the described data? MB (megabyte) To whom might it be useful ('data utility')? • Researchers • Research communities • Decision makers 13.2. Reused Data Are you re-using the described data and how? No Making data findable, including provisions for metadata Will you use metadata to describe the data? Yes Will your metadata use standardised vocabularies? Yes As implemented by Zenodo Will you make the metadata available free-of-charge? Yes Will your metadata be harvestable? Yes https://zenodo.org/oai2d Will you use naming conventions for your data? Yes Will you provide clear version numbers for your data? Yes Will you provide persistent identifiers for the described data? D5.4 – Data Management Plan 83 Yes Persistent identifiers DOI Will you provide searchable metadata for the described data? Yes What services will you use to provide searchable metadata? Registry/Catalogue Please provide URL/Name for the used searchable metadata https://zenodo.org/ Zenodo Will you use standardised formats for the described data? Yes Are the file formats you will use open? Yes Do supported open-source tools exist for accessing the data? Yes Making data openly accessible Are there ethical or legal issues that can impact sharing the described data? No Will the described data be openly accessible? Yes How will the data be made available? Other Please provide URL/Name of used data repositories https://zenodo.org/ Zenodo Is the storage sufficiently secure for the data and does the storage provide backup and recovery procedures? Secure with backup and recovery D5.4 – Data Management Plan 84 Are there any methods or tools required to access the described data? No Making data interoperable Will you use a controlled vocabulary for the described data? No Will you provide a mapping to more commonly used ontologies? No Increase data reuse When do you plan to make the described data available for reuse? After article publication Do you have documented procedures for quality assurance of the described data? No 13.3. Allocation of resources How will the cost of making the described data findable, accessible, interoperable and reusable be covered? Collaboration with other Projects Will you identify a data manager to manage the described data? If not who will be responsible for the management of the data? Yes How do you intend to ensure data reuse after your project finishes? Data Center Archive Storage 13.4. Data Security Where do you plan to keep the described data? Kept on secure, managed storage for limited time 13.5. Ethical aspects Are there any ethical or legal issues that can have an impact on data sharing? No Are the described data sensitive? D5.4 – Data Management Plan 85 No Are the described data personal? No 13.6. Other Do you make use of other procedures for data management? No D5.4 – Data Management Plan 86 14. SubTask 2.2.2. – Micro and Nanoplastic contamination and distribution in soils from Climecs mesocosm experiments Task: Controlled mesocosms studies of MNP behaviour and transport Clusters of tabular data (with metadata including variable labels, code labels and definition of missing value, experimental design description) reporting numbers and masses of micro and nanoplastics in European soils (including morphological and chemical composition of particles • The dataset on “Plastic additive determination in soil and lettuce collected within the frame of the mesocosm experiment” pertaining to sub-task “SubTask 2.2.2 - Micro and Nanoplastic contamination and distribution in soils from Climecs mesocosm experiments” is currently completed in proportion of 40% percent covering the following elements: i) Soil samples collected during the CLIMECS 2 study ii) Soil samples collected during the CLIMECS 3 study iii) Lettuce samples collected during the CLIMECS 3 study The expected delivery date of the corresponding datasets on PAPILLONS Zenodo Community is during 12/2024. The samples were collected by our partners in Vrije Universiteit Amsterdam. Quality assurance measures were in place during analysis including calibration curves, blank measurements and use of validated methods. Template: Horizon 2020 Type: Dataset 14.1. Data Summary What is the purpose of the data collection/generation and its relation to the objectives of the project? To obtain information What are the types of the described generated/collected data? Other What are the formats of the described generated/collected data? Text files D5.4 – Data Management Plan 87 What is the origin of the described data? Other What is the expected size of the described data? MB (megabyte) To whom might it be useful ('data utility')? • Researchers • Research communities • Decision makers 14.2. Reused Data Are you re-using the described data and how? No Making data findable, including provisions for metadata Will you use metadata to describe the data? Yes Will your metadata use standardised vocabularies? Yes Will you make the metadata available free-of-charge? Yes Will your metadata be harvestable? Yes https://zenodo.org/oai2d Will you use naming conventions for your data? Yes Will you provide clear version numbers for your data? Yes Will you provide persistent identifiers for the described data? Yes D5.4 – Data Management Plan 88 Persistent identifiers DOI Will you provide searchable metadata for the described data? Yes As implemented on https://zenodo.org/ What services will you use to provide searchable metadata? Other Please provide URL/Name for the used searchable metadata https://zenodo.org Zenodo Will you use standardised formats for the described data? Yes Are the file formats you will use open? Yes Do supported open-source tools exist for accessing the data? Yes Making data openly accessible Are there ethical or legal issues that can impact sharing the described data? No Will the described data be openly accessible? Yes How will the data be made available? Repository of Archive Please provide URL/Name of used data repositories https://zenodo.org/communities/papillons/records Zenodo Is the storage sufficiently secure for the data and does the storage provide backup and recovery procedures? Secure with backup and recovery D5.4 – Data Management Plan 95 16. SubTask 2.3.1. – Microplastic transport efficiency from runoff experiments Task: Transfer and behaviour of MNP to groundwater and surface water Clusters of tabular data (with metadata including variable labels, code labels and definition of missing value, experimental design description) reporting estimators of the transport efficiency of microplastics during runoff experiments Dataset of microplastic mobilization rates in response to factors such as precipitation and crop development is under preparation. It pertains to task "2.3. MNP and additives transport to groundwater, surface water, air and uptake by biota and crop" and sub-task “Transfer and behaviour of MNP to groundwater and surface water”. The runoff experiment at the modified pinson collector (IMDEA) experiment is currently completed in proportion of 60 percent, covering the following elements: • Experimental development performed • Soil and water sampling performed • Sample treatment and analysis under development Infiltration and surface runoff water samples together with soil samples at different depths were collected from modified Pinson collectors. Two experimental treatments (three replicates) were run. Film microplastics were added in all systems. Samples were collected during crop development and rainfall events. Bare soil was used as a control. Samples are being processed using FT-IR. Data structure will include number of microplastics and their characterization in the samples collected to define the fate of such particles and their transport efficiency. The dataset on “Plastic additive determination in run-off water” pertaining to sub-task “SubTask 2.3.1 - Microplastic transport efficiency from runoff experiments” is currently completed in proportion of 20% percent covering the following elements: i) LC-MS method optimization ii) Run-off water samples analysis The samples were collected by our partners IMDEA. Quality assurance measures were in place during analysis including calibration curves, blank measurements and use of validated methods. The expected delivery date of the corresponding datasets on PAPILLONS Zenodo Community is during 12/2024. Task: Lateral Microplastic Transport Clusters of tabular data (with metadata including variable labels, code labels, and definitions of missing values, along with experimental design descriptions) reporting the transport (count) of microplastic particles during runoff experiments. D5.4 – Data Management Plan 96 The dataset entails the transport of microplastics (MP) during heavy rainfall events, as a function of slope gradients (1°, 3°, 9°) and tillage practices, utilizing eight independent soil-filled containers (approximately 80 x 80 x 20 cm). The soil was spiked with field-relevant concentrations (about 7 g/m², 50 mg/kg dw) of polyvinyl terephthalate (PET), polystyrene (PS), and tire wear (TW). Runoff from each container is collected to assess MP transport. MPs are either distributed onto the soil surface to simulate worst-case scenarios (Experiment 1) or integrated into the soil to enhance field relevance (Experiment 2). Both experiments have been conducted, with Experiment 1 samples currently undergoing analysis (approximately 25% complete). Analysis of Experiment 2 samples will follow. A third experiment is scheduled for late spring / early summer to investigate vegetation effects on lateral MP transport. Runoff will be collected, and MP particles analysed as in the previous experiments. For each experiment, samples are assigned consecutive numbers to minimize reference to specific treatments, thus reducing systematic errors in analysis. Datasets from all three experiments will be available to the PAPILLONS Zenodo community no later than December 2024. Template: Horizon 2020 Type: Dataset 16.1. Data Summary What is the purpose of the data collection/generation and its relation to the objectives of the project? To obtain information What are the types of the described generated/collected data? • experimental (e.g. • gene sequencing data) • Other Number of microplastics and their characterization together with additive concentrations in the samples collected from the runoff experiment What are the formats of the described generated/collected data? • Text files • Numerical D5.4 – Data Management Plan 97 What is the origin of the described data? Other What is the expected size of the described data? MB (megabyte) To whom might it be useful ('data utility')? • Researchers • Research communities • Decision makers 16.2. Reused Data Are you re-using the described data and how? No Making data findable, including provisions for metadata Will you use metadata to describe the data? Yes Will your metadata use standardised vocabularies? Yes As used by Zenodo Will you make the metadata available free-of-charge? Yes Will your metadata be harvestable? Yes https://zenodo.org/oai2d Will you use naming conventions for your data? Yes Will you provide clear version numbers for your data? Yes Will you provide persistent identifiers for the described data? D5.4 – Data Management Plan 98 Yes Persistent identifiers DOI Will you provide searchable metadata for the described data? Yes What services will you use to provide searchable metadata? Registry/Catalogue Please provide URL/Name for the used searchable metadata https://zenodo.org/ Will you use standardised formats for the described data? Yes Are the file formats you will use open? Yes Do supported open-source tools exist for accessing the data? Yes Making data openly accessible Are there ethical or legal issues that can impact sharing the described data? No Will the described data be openly accessible? Yes How will the data be made available? Repository of Archive Please provide URL/Name of used data repositories https://zenodo.org/communities/papillons/records PAPILLONS Zenodo community Is the storage sufficiently secure for the data and does the storage provide backup and recovery procedures? Secure with backup and recovery Are there any methods or tools required to access the described data? D5.4 – Data Management Plan 99 No Making data interoperable Will you use a controlled vocabulary for the described data? No Will you provide a mapping to more commonly used ontologies? No Increase data reuse When do you plan to make the described data available for reuse? After article publication Do you have documented procedures for quality assurance of the described data? No 16.3. Allocation of resources How will the cost of making the described data findable, accessible, interoperable and reusable be covered? Collaboration with other Projects Will you identify a data manager to manage the described data? If not, who will be responsible for the management of the data? Yes How do you intend to ensure data reuse after your project finishes? Data Center Archive Storage 16.4. Data Security Where do you plan to keep the described data? Kept on secure, managed storage for limited time 16.5. Ethical aspects Are there any ethical or legal issues that can have an impact on data sharing? No Are the described data sensitive? No D5.4 – Data Management Plan 100 Are the described data personal? No 16.6. Other Do you make use of other procedures for data management? No D5.4 – Data Management Plan 101 17. SubTask 2.3.2. – Microplastic atmospheric transport data in agricultural areas Task: Atmospheric transport of AP Clusters of tabular data on spatio-temporally resolved microplastic deposition fluxes in relation to meteorological variables (with metadata including variable labels, code labels and definition of missing value, experimental design description) reporting estimators of the air transport efficiency of microplastics. Atmospheric deposition was collected monthly over a period of one year at three study sites in Spain, Germany and Finland. A total of 38 monthly field samples and 38 blank samples were taken and analysed for MP contamination. The data is currently being analysed and will be made available to the PAPILLONS Zenodo community from 7/2024 Template: Horizon 2020 Type: Dataset 17.1. Data Summary What is the purpose of the data collection/generation and its relation to the objectives of the project? To obtain information What are the types of the described generated/collected data? Other What are the formats of the described generated/collected data? Text files What is the origin of the described data? Other What is the expected size of the described data? MB (megabyte) D5.4 – Data Management Plan 102 To whom might it be useful ('data utility')? • Researchers • Research communities • Decision makers 17.2. Reused Data Are you re-using the described data and how? No Making data findable, including provisions for metadata Will you use metadata to describe the data? Yes Will your metadata use standardised vocabularies? Yes Will you make the metadata available free-of-charge? Yes Will your metadata be harvestable? Yes https://zenodo.org/oai2d Will you use naming conventions for your data? Yes Will you provide clear version numbers for your data? Yes Will you provide persistent identifiers for the described data? Yes Persistent identifiers DOI Will you provide searchable metadata for the described data? Yes What services will you use to provide searchable metadata? D5.4 – Data Management Plan 103 Registry/Catalogue Please provide URL/Name for the used searchable metadata https://zenodo.org/ Will you use standardised formats for the described data? Yes Are the file formats you will use open? Yes Do supported open-source tools exist for accessing the data? Yes Making data openly accessible Are there ethical or legal issues that can impact sharing the described data? No Will the described data be openly accessible? Yes How will the data be made available? Repository of Archive Please provide URL/Name of used data repositories https://zenodo.org/communities/papillons/records Zenodo PAPILLONS community Is the storage sufficiently secure for the data and does the storage provide backup and recovery procedures? Secure with backup and recovery Are there any methods or tools required to access the described data? No Making data interoperable Will you use a controlled vocabulary for the described data? No Will you provide a mapping to more commonly used ontologies? D5.4 – Data Management Plan 104 No Increase data reuse When do you plan to make the described data available for reuse? After article publication Do you have documented procedures for quality assurance of the described data? No 17.3. Allocation of resources How will the cost of making the described data findable, accessible, interoperable and reusable be covered? Collaboration with other Projects Will you identify a data manager to manage the described data? If not, who will be responsible for the management of the data? Yes How do you intend to ensure data reuse after your project finishes? Data Center Archive Storage 17.4. Data Security Where do you plan to keep the described data? Kept on secure, managed storage for limited time 17.5. Ethical aspects Are there any ethical or legal issues that can have an impact on data sharing? No Are the described data sensitive? No Are the described data personal? No 17.6. Other Do you make use of other procedures for data management? No D5.4 – Data Management Plan 111 19. SubTask 4.1.2. – Plant performance in MNP-Soil Plant system Task: Plant performance in MNP-Soil-Plant system Species-dependent responses of crop plants to polystyrene microplastics Contrasting the Impact of Biodegradable and Traditional Microplastics from Mulch on Crop Growth, Pot plant experiment Biodegradable microplastics induce profound changes in lettuce (Lactuca sativa) defence mechanisms and to some extent deteriorate growth traits in mesocosm experiment. CLIMECS1: Treatment and timepoint information. Effects on basic traits tests such as biomass, growth, and biomass allocation (plant tissue ratio), Necrotic tissue and Specific leaf area. Stochiometric ratios (e.g. C: N), Dry weight percentage and Chlorophyll. Biochemical indicators such as DNA methylation, Lipid peroxidation, Production of secondary compounds, Generation of reactive oxygen species, Activity of glutathione ascorbate cycle, Abscisic and Salicylic acid stress hormones. CLIMECS 3: Impacts of conventional and biodegradable microplastics on lettuce under realistic exposure conditions (in progress) The impact of leachates from conventional and biodegradable plastic mulch films on plants and aquatic invertebrates Uptake of 14C-labelled nanoplastics by crops. Template: Horizon 2020 Type: Dataset 19.1. Data Summary What is the purpose of the data collection/generation and its relation to the objectives of the project? To obtain information What are the types of the described generated/collected data? • sample or specimen data • experimental (e.g. • gene sequencing data) D5.4 – Data Management Plan 112 Species-dependent responses of crop plants to polystyrene microplastics: a) acute 7-14d test (lettuce, carrot, wheat and barley) and chronic hydroponic 21-d test (lettuce + wheat) conducted under laboratory conditions, b) trained personnel, validated methods, well equipped laboratories, internal standards when needed, c) For both the acute and chronic experiment we have plant, treatment and timepoint information. Acute effects on basic traits, including germination, shoot length, root length and biomass. Chronic effects on basic traits such as biomass, shootand root length, Necrotic tissue and Specific leaf area and Chlorophyll content. Biochemical indicators such as lipid peroxidation, total phenylic content, salicylic acid stress hormones. Contrasting the Impact of Biodegradable and Traditional Microplastics from Mulch on Crop Growth: a) acute 7-14d test (lettuce, carrot, wheat and barley) and chronic hydroponic 21-d test (lettuce + barley) conducted under laboratory conditions, b) trained personnel, validated methods, well equipped laboratories, internal standards when needed, c) For both the acute and chronic experiment we have plant, treatment and timepoint information. Acute effects on basic traits, including germination, shoot length, root length and biomass. Chronic effects on basic traits such as biomass, shootand root length, Necrotic tissue and Specific leaf area and Chlorophyll content. Biodegradable microplastics induce profound changes in lettuce (Lactuca sativa) defence mechanisms and to some extent deteriorate growth traits in mesocosm experiment: a) lettuce samples collected during and in the end of the three-month experiment, b) trained personnel, validated methods, well equipped laboratories, internal standards when needed, c) CLIMECS1: Treatment and timepoint information. Effects on basic traits tests such as biomass, growth, and biomass allocation (plant tissue ratio), Necrotic tissue and Specific leaf area. Stochiometric ratios (e.g. C: N), Dry weight percentage and Chlorophyll. Biochemical indicators such as lipid peroxidation, Production of secondary compounds, Activity of glutathione ascorbate cycle, Salicylic acid stress hormones. CLIMECS 3: Impacts of conventional and biodegradable microplastics on lettuce under realistic exposure conditions (in progress): a) lettuce samples collected during and in the end of the threemonth experiment using PBAT-starch blend and PE in CLIMECS experimental setup at VU (Amsterdam), b) trained personnel, validated methods, well equipped laboratories, internal standards when needed, c) CLIMECS3: Treatment and timepoint information present. Effects on basic traits tests such as biomass, growth, and biomass allocation (plant tissue ratio), Necrotic tissue and Specific leaf area. Stochiometric ratios (e.g. C: N), Dry weight percentage and Chlorophyll. Biochemical indicators such as lipid peroxidation, Production of secondary compounds, Activity of glutathione ascorbate cycle, Salicylic acid stress hormones. Protein and sugar content The impact of leachates from conventional and biodegradable plastic mulch films on plants and aquatic invertebrates: a) PLANTS: acute 7-14d test (lettuce, carrot, wheat and barley) and chronic hydroponic 21-d test (lettuce + wheat) conducted under laboratory conditions, AQUATIC INVERTS: Daphnia magna reproductive test and C. Riparius reproductive test according to OECD guidelines b) trained personnel, validated methods, well equipped laboratories, internal standards when needed, c) PLANTS: For both the acute and chronic experiment we have plant, treatment and timepoint information. Acute effects on basic traits, including germination, shoot length, root length and biomass. Chronic effects on basic traits such as biomass, shootand root length, Necrotic tissue and Specific leaf area and Chlorophyll content. Biochemical indicators such as lipid peroxidation, total phenylic content, salicylic acid stress D5.4 – Data Management Plan 113 hormones. INVERTS: For both species we collect impact on reproduction, growth, population biomass and behaviour. Uptake of 14C-labelled nanoplastics by crops. What are the formats of the described generated/collected data? • Text files • Numerical What is the origin of the described data? • Primary data • Secondary data What is the expected size of the described data? KB (kilobyte) less than a megabyte To whom might it be useful ('data utility')? • Researchers • Research communities • Decision makers 19.2. Reused Data Are you re-using the described data and how? No Making data findable, including provisions for metadata Will you use metadata to describe the data? No Data described in detail in the publication Will your metadata use standardised vocabularies? No Will you make the metadata available free-of-charge? Zenodo D5.4 – Data Management Plan 114 Will you use naming conventions for your data? No Will you provide clear version numbers for your data? No Will you provide persistent identifiers for the described data? Yes Zenodo Persistent identifiers DOI Will you provide searchable metadata for the described data? No Will you use standardised formats for the described data? No Are the file formats you will use open? Yes Do supported open-source tools exist for accessing the data? Yes Will you provide metadata describing the quality of the data? No Making data openly accessible Are there ethical or legal issues that can impact sharing the described data? No Will the described data be openly accessible? Yes https://zenodo.org/communities/papillons/records How will the data be made available? Repository of Archive https://zenodo.org/communities/papillons/records D5.4 – Data Management Plan 115 Please provide URL/Name of used data repositories a. https://zenodo.org/records/10361834 Zenodo b. https://zenodo.org/records/10161131 Zenodo Is the storage sufficiently secure for the data and does the storage provide backup and recovery procedures? Secure with backup and recovery Are there any methods or tools required to access the described data? No Will you also make auxiliary data that may be of interest to researchers available? No auxiliary data Making data interoperable Will you use a controlled vocabulary for the described data? No Will you provide a mapping to more commonly used ontologies? No Increase data reuse When do you plan to make the described data available for reuse? After article publication https://zenodo.org/communities/papillons/records Do you have documented procedures for quality assurance of the described data? No Will you provide any support for data reuse? No 19.3. Allocation of resources How will the cost of making the described data findable, accessible, interoperable, and reusable be covered? Collaboration with other Projects D5.4 – Data Management Plan 116 Will you identify a data manager to manage the described data? If not, who will be responsible for the management of the data? No Identify the people or roles that will be responsible for the management of the described data a. Laura Zantis (orcid:0000-0002-8682-8727) Corresponding author b. Sylwia Adamczyk (orcid:0000-0002-9051-9302) Corresponding author How do you intend to ensure data reuse after your project finishes? Data Center Archive Storage 19.4. Data Security Where do you plan to keep the described data? Kept on secure, managed storage for limited time 19.5. Ethical aspects Are there any ethical or legal issues that can have an impact on data sharing? No Are the described data sensitive? No Are the described data personal? No 19.6. Other Do you make use of other procedures for data management? No D5.4 – Data Management Plan 117 20. SubTask 4.1.3. – Relevance of environmental factors on MNP-induced effects on plant performance Task: Relevance of environmental factors on MNP-induced effects on plant performance Clusters of tabular data of plant growth and quality (several endpoints) (with metadata including variable labels, code labels and definition of missing value, experimental design description) Field experiment: Impacts of conventional and biodegradable microplastics on barley under field conditions in three pedoclimatic regions (in progress) Template: Horizon 2020 Type: Dataset 20.1. Data Summary What is the purpose of the data collection/generation and its relation to the objectives of the project? To obtain information What are the types of the described generated/collected data? Other Field experiment: Impacts of conventional and biodegradable microplastics on barley under field conditions in three pedoclimatic regions (in progress) Datasets will be provided accordingly: a) barley samples collected during field experiments, b) trained personnel, validated methods, well equipped laboratories, internal standards when needed, c) Field experiments: Treatment and timepoint information. Effects on basic traits tests such as biomass, growth, and biomass allocation (plant tissue ratio), Necrotic tissue and Specific leaf area. Stochiometric ratios (e.g. C: N), Dry weight percentage and Chlorophyll. Biochemical indicators such as lipid peroxidation, Production of secondary compounds, Activity of glutathione ascorbate cycle, Salicylic acid stress hormones. What are the formats of the described generated/collected data? Text files What is the origin of the described data? Other D5.4 – Data Management Plan 118 What is the expected size of the described data? MB (megabyte) To whom might it be useful ('data utility')? • Researchers • Research communities • Decision makers 20.2. Reused Data Are you re-using the described data and how? No Making data findable, including provisions for metadata Will you use metadata to describe the data? Yes Will your metadata use standardised vocabularies? No Will you make the metadata available free-of-charge? Yes Will your metadata be harvestable? Yes Will you use naming conventions for your data? Yes Will you provide clear version numbers for your data? Yes Will you provide persistent identifiers for the described data? Yes Will you provide searchable metadata for the described data? Yes What services will you use to provide searchable metadata? Registry/Catalogue D5.4 – Data Management Plan 119 Will you use standardised formats for the described data? Yes Are the file formats you will use open? Yes Do supported open-source tools exist for accessing the data? Yes Making data openly accessible Will the described data be openly accessible? Yes How will the data be made available? Repository of Archive Is the storage sufficiently secure for the data and does the storage provide backup and recovery procedures? Secure with backup and recovery Are there any methods or tools required to access the described data? No Making data interoperable Will you use a controlled vocabulary for the described data? No Will you provide a mapping to more commonly used ontologies? No Increase data reuse When do you plan to make the described data available for reuse? After article publication Do you have documented procedures for quality assurance of the described data? No D5.4 – Data Management Plan 120 20.3. Allocation of resources How will the cost of making the described data findable, accessible, interoperable and reusable be covered? Collaboration with other Projects Will you identify a data manager to manage the described data? If not, who will be responsible for the management of the data? Yes How do you intend to ensure data reuse after your project finishes? Data Center Archive Storage 20.4. Data Security Where do you plan to keep the described data? Kept on secure, managed storage for limited time 20.5. Ethical aspects Are there any ethical or legal issues that can have an impact on data sharing? No Are the described data sensitive? No Are the described data personal? No 20.6. Other Do you make use of other procedures for data management? No D5.4 – Data Management Plan 127 22.2. Reused Data Are you re-using the described data and how? No Making data findable, including provisions for metadata Will you use metadata to describe the data? Yes Will your metadata use standardised vocabularies? No Will you make the metadata available free-of-charge? Yes Will your metadata be harvestable? Yes Will you use naming conventions for your data? Yes Will you provide clear version numbers for your data? Yes Will you provide persistent identifiers for the described data? Yes Will you provide searchable metadata for the described data? Yes What services will you use to provide searchable metadata? Registry/Catalogue Will you use standardised formats for the described data? Yes Are the file formats you will use open? Yes Do supported open-source tools exist for accessing the data? Yes D5.4 – Data Management Plan 128 Making data openly accessible Will the described data be openly accessible? Yes How will the data be made available? Repository of Archive Is the storage sufficiently secure for the data and does the storage provide backup and recovery procedures? Secure with backup and recovery Are there any methods or tools required to access the described data? No Making data interoperable Will you use a controlled vocabulary for the described data? No Will you provide a mapping to more commonly used ontologies? No Increase data reuse When do you plan to make the described data available for reuse? After article publication Do you have documented procedures for quality assurance of the described data? No 22.3. Allocation of resources How will the cost of making the described data findable, accessible, interoperable and reusable be covered? Collaboration with other Projects Will you identify a data manager to manage the described data? If not, who will be responsible for the management of the data? Yes How do you intend to ensure data reuse after your project finishes? Data Center Archive Storage D5.4 – Data Management Plan 129 22.4. Data Security Where do you plan to keep the described data? Kept on secure, managed storage for limited time 22.5. Ethical aspects Are there any ethical or legal issues that can have an impact on data sharing? No Are the described data sensitive? No Are the described data personal? No 22.6. Other Do you make use of other procedures for data management? No D5.4 – Data Management Plan 130 23. Task 2.1. – Micro and Nanoplastic contamination in European agricultural soils Task: MNP source apportionment in European agricultural soils Clusters of tabular data (with metadata including variable labels, code labels and definition of missing value) reporting numbers and masses of micro and nanoplastics in European soils (including morphological and chemical composition of particles) and numbers and polymer type of macroplastics. Clusters of tabular data (with metadata including variable labels, code labels and definition of missing value) reporting plastic additive determination in soils collected within the frame of the European Spatial Survey. This dataset is currently completed in proportion of 70% percent covering the following elements: i) Soil samples collected from Germany, Czech Republic, Italy, Spain, Greece, Norway & Finland The expected delivery date of the corresponding datasets on PAPILLONS Zenodo Community is during 6/2024. The samples were collected by our PAPILLONS partners. Quality assurance measures were in place during analysis including calibration curves, blank measurements and use of validated methods. Clusters of tabular data with metadata including variable labels, code labels and definition of missing value) reporting numbers and masses of microplastics in earthworms sampled in European soils (including morphological and chemical composition of particles). This dataset is currently being generated and is expected to be completed and delivered on the PAPILLONS Zenodo community during 7/2024 Template: Horizon 2020 Type: Dataset 23.1. Data Summary What is the purpose of the data collection/generation and its relation to the objectives of the project? To obtain information What are the types of the described generated/collected data? Other D5.4 – Data Management Plan 131 What are the formats of the described generated/collected data? Text files What is the origin of the described data? Other What is the expected size of the described data? MB (megabyte) To whom might it be useful ('data utility')? • Researchers • Research communities • Decision makers 23.2. Reused Data Are you re-using the described data and how? No Making data findable, including provisions for metadata Will you use metadata to describe the data? Yes Will your metadata use standardised vocabularies? Yes Will you make the metadata available free-of-charge? Yes Will your metadata be harvestable? Yes https://zenodo.org/oai2d Will you use naming conventions for your data? Yes Will you provide clear version numbers for your data? Yes D5.4 – Data Management Plan 132 Will you provide persistent identifiers for the described data? Yes Persistent identifiers DOI Will you provide searchable metadata for the described data? Yes As implemented on Zenodo with rest api access and ui access What services will you use to provide searchable metadata? Registry/Catalogue Please provide URL/Name for the used searchable metadata https://zenodo.org/ Zenodo Will you use standardised formats for the described data? Yes Are the file formats you will use open? Yes Do supported open-source tools exist for accessing the data? Yes Making data openly accessible Are there ethical or legal issues that can impact sharing the described data? No Will the described data be openly accessible? Yes How will the data be made available? Repository of Archive Please provide URL/Name of used data repositories https://zenodo.org/communities/papillons/records Zenodo PAPILLONS community D5.4 – Data Management Plan 133 Is the storage sufficiently secure for the data and does the storage provide backup and recovery procedures? Secure with backup and recovery Are there any methods or tools required to access the described data? No Making data interoperable Will you use a controlled vocabulary for the described data? No Will you provide a mapping to more commonly used ontologies? No Increase data reuse When do you plan to make the described data available for reuse? After article publication Do you have documented procedures for quality assurance of the described data? No 23.3. Allocation of resources How will the cost of making the described data findable, accessible, interoperable and reusable be covered? Collaboration with other Projects Will you identify a data manager to manage the described data? If not, who will be responsible for the management of the data? Yes How do you intend to ensure data reuse after your project finishes? Data Center Archive Storage 23.4. Data Security Where do you plan to keep the described data? Kept on secure, managed storage for limited time 23.5. Ethical aspects Are there any ethical or legal issues that can have an impact on data sharing? D5.4 – Data Management Plan 134 No Are the described data sensitive? No Are the described data personal? No 23.6. Other Do you make use of other procedures for data management? No D5.4 – Data Management Plan 135 24. SubTask 2.3.1. – MNP transport through soils under variable saturation conditions Task: Transfer and behaviour of MNP to groundwater and surface water Clusters of tabular data (with metadata including variable labels, code labels and definition of missing value, experimental design description) reporting estimators of the transport efficiency of micronano-plastics during infiltration through soils and breakthrough curves in column experiments under variable saturation conditions. https://zenodo.org/doi/10.5281/zenodo.10887824 https://zenodo.org/doi/10.5281/zenodo.10932192 https://zenodo.org/doi/10.5281/zenodo.10931958 Template: Horizon 2020 Type: Dataset 24.1. Data Summary What is the purpose of the data collection/generation and its relation to the objectives of the project? To obtain information What are the types of the described generated/collected data? • experimental (e.g. • gene sequencing data) • Other Concentrations of micro-nano-plastics from the column outlet in soil column experiments during time generating experimental breakthrough curves. What are the formats of the described generated/collected data? Text files What is the origin of the described data? Other D5.4 – Data Management Plan 136 What is the expected size of the described data? MB (megabyte) To whom might it be useful ('data utility')? • Researchers • Research communities • Decision makers 24.2. Reused Data Are you re-using the described data and how? No Making data findable, including provisions for metadata Will you use metadata to describe the data? Yes DataCite Metadata Schema Will your metadata use standardised vocabularies? Yes Will you make the metadata available free-of-charge? Yes Will your metadata be harvestable? Yes https://zenodo.org/oai2d Will you use naming conventions for your data? No Will you provide clear version numbers for your data? Yes Will you provide persistent identifiers for the described data? Yes Persistent identifiers DOI D5.4 – Data Management Plan 143 No 25.6. Other Do you make use of other procedures for data management? No D5.4 – Data Management Plan 144 26. SubTask 3.2.1. – Changes in microbial community composition and activity after exposure to microplastics in field plot and mesocosm experiments Clusters of tabular data of values of molecular markers reflecting microbial community composition and organic matter degradation rates and properties (with metadata including variable labels, code labels and definition of missing value, experimental design description). These clusters of data are: 1. PAPILLONS CLIMECS1: Effects of biodegradable MNPs on soil microbial communities and microbial activity. DOI and link in Zenodo: Sequence data will be uploaded in NCBI, other data in Zenodo: 10.5281/zenodo.10715716 Dataset current status: Dataset " PAPILLONS CLIMECS1: Effects of biodegradable MNPs on soil microbial communities and microbial activity” pertaining to sub-task 3.2.1 on soil microbes is currently completed in proportion of 90 percent, covering the soil microbial (bacterial and fungal) community analysis in PAPILLONS mesocosm experiment Expected delivery date: The expected delivery date of the corresponding dataset on PAPILLONS Zenodo Community and NCBI is May 2024. Detailed dataset description: Data is collected from PAPILLONS mesocosm experiment (first round). The bacterial V4-V5 region of the 16S rRNA gene was amplified using primers 515F-926R, and the fungal ITS genomic region was amplified using the fITS7 and the ITS4 primers. After the purification, the amplicon library was sequenced on an Illumina MiSeq platform. The bacterial taxonomy of each amplicon sequence variant (ASV) was assigned using the database. The alpha diversity indices and relative abundances of bacterial and fungal communities were analysed, and the beta diversity was visualized using Bray-Curtis distances. 2. PAPILLONS CLIMECS3: Effects of conventional MNPs on soil microbial communities and microbial activity in CLIMECS mesocosms DOI and link in Zenodo: Sequence data will be uploaded in NCBI, other data in Zenodo: 10.5281/zenodo.10715716 Dataset current status: Dataset "PAPILLONS CLIMECS3: Effects of biodegradable MNPs on soil microbial communities and microbial activity” pertaining to sub-task 3.2.1 on microbes is currently completed in proportion of 70 percent, covering the soil microbial (bacterial and fungal) community analysis in PAPILLONS mesocosm experiment Expected delivery date: The expected delivery date of the corresponding dataset on PAPILLONS Zenodo Community and NCBI is in June 2024. D5.4 – Data Management Plan 145 Detailed dataset description: Data is collected from PAPILLONS mesocosm experiment (third round). The bacterial V4-V5 region of the 16S rRNA gene was amplified using primers 515F-926R, and the fungal ITS genomic region was amplified using the fITS7 and the ITS4 primers. After the purification, the amplicon library was sequenced on an Illumina MiSeq platform. The bacterial taxonomy of each amplicon sequence variant (ASV) was assigned using the database. The alpha diversity indices and relative abundances of bacterial and fungal communities were analyzed, and the beta diversity was visualized using Bray-Curtis distances. 3. PAPILLONS Field experiment: Effects of conventional and biodegradable microplastics on soil properties and processes Dataset current status: Field experiment: Effects of conventional and biodegradable microplastics on soil properties and processes” pertaining to task 3.2, on microbial functioning, is currently completed in proportion of 80%, covering the measurements of microbial activity, degradation of litter, measured by teabag approach and production of greenhouse gases (GHG; only in Finland). Expected delivery date: December 2024 Detailed dataset description: Samples for microbial activity measurements were taken from the experimental fields at two sampling occasions after the growth season and harvest, in 2022 and 2023. The degradation of litter was followed during the growth seasons by placing teabags (green tea and rooibos tea) in soil and by measuring the mass loss of the tea after taken from the soil before harvest. Greenhouse gases released from soil were measured in Finland in 2023 by taking samples regularly. data collection methods and tools. Data includes raw data on microbial activity, GHG and tea biomass. 4. PAPILLONS Field experiment: Effects of conventional and biodegradable microplastics on soil microbial community. DOI and link in Zenodo: Sequence data will be uploaded in NCBI, other data in Zenodo: 10.5281/zenodo.10715716 Dataset current status: Dataset " PAPILLONS Field experiment: Effects of conventional and biodegradable microplastics on soil microbial community” pertaining to task 3.2.1 on soil microbial community is currently completed in proportion of 60 percent, covering the soil microbial (bacterial and fungal) community analysis in PAPILLONS field experiment. Expected delivery date: The expected delivery date of the corresponding dataset on PAPILLONS Zenodo Community and NCBI is June 2024. Detailed dataset description: Data is collected from the three field experiment sites located in Finland, Spain and Germany after growing seasons 2022 and 2023. The bacterial V4-V5 region of the 16S rRNA gene was amplified using primers 515F-926R, and the fungal ITS genomic region was amplified using the fITS7 and the ITS4 primers. After the purification, the amplicon library was sequenced on an Illumina MiSeq platform. The bacterial taxonomy of each amplicon sequence variant (ASV) was assigned using the database. The alpha diversity indices and relative abundances of bacterial and fungal communities were analysed, and the beta diversity was visualized using Bray-Curtis distances. D5.4 – Data Management Plan 146 Template: Horizon 2020 Type: Dataset 26.1. Data Summary What is the purpose of the data collection/generation and its relation to the objectives of the project? To obtain information What are the types of the described generated/collected data? • experimental (e.g. • gene sequencing data) • Other What are the formats of the described generated/collected data? Text files What is the origin of the described data? Other What is the expected size of the described data? MB (megabyte) To whom might it be useful ('data utility')? • Researchers • Research communities • Decision makers 26.2. Reused Data Are you re-using the described data and how? No Making data findable, including provisions for metadata Will you use metadata to describe the data? Yes DataCite Metadata Schema D5.4 – Data Management Plan 147 Will your metadata use standardised vocabularies? Yes Please provide URL/Description of used vocabularies a. https://opendefinition.org/ license b. https://www.crossref.org/services/funder-registry/ funders Will you make the metadata available free-of-charge? Yes Will your metadata be harvestable? Yes Will you use naming conventions for your data? No Will you provide clear version numbers for your data? Yes Will you provide persistent identifiers for the described data? Yes Persistent identifiers DOI Will you provide searchable metadata for the described data? Yes Metadata is indexed and searchable directly in Zenodo's search engine immediately after publishing and sent to Datacite servers and indexed What services will you use to provide searchable metadata? Registry/Catalogue Please provide URL/Name for the used searchable metadata https://zenodo.org/records/10715716 Zenodo Will you use standardised formats for the described data? D5.4 – Data Management Plan 148 Yes Are the file formats you will use open? Yes Do supported open-source tools exist for accessing the data? Yes Will you provide metadata describing the quality of the data? No Making data openly accessible Are there ethical or legal issues that can impact sharing the described data? No Will the described data be openly accessible? Yes How will the data be made available? Repository of Archive Is the storage sufficiently secure for the data and does the storage provide backup and recovery procedures? Secure with backup and recovery Are there any methods or tools required to access the described data? No Making data interoperable Will you use a controlled vocabulary for the described data? No Will you provide a mapping to more commonly used ontologies? No Increase data reuse When do you plan to make the described data available for reuse? After article publication Do you have documented procedures for quality assurance of the described data? D5.4 – Data Management Plan 149 No 26.3. Allocation of resources How will the cost of making the described data findable, accessible, interoperable and reusable be covered? Other Will you identify a data manager to manage the described data? If not, who will be responsible for the management of the data? Yes How do you intend to ensure data reuse after your project finishes? Data Center Archive Storage 26.4. Data Security Where do you plan to keep the described data? Kept on secure, managed storage for limited time 26.5. Ethical aspects Are there any ethical or legal issues that can have an impact on data sharing? No Are the described data sensitive? No Are the described data personal? No 26.6. Other Do you make use of other procedures for data management? No D5.4 – Data Management Plan 150 27. SubTask 3.2.2. – Variability in microbial community composition in soils with varying microplastic concentrations SubTask 3.2.2 Spatial surveys on covariance between microbial diversity and MNP distribution Datasets name: Variability in microbial community composition in soils with varying microplastic concentrations Dataset description: Tabular data of values of molecular markers reflecting microbial community composition (with metadata including variable labels, code labels and definition of missing value, experimental design description). Data is collected from the 39 soil samples of spatial surveys in European regions (Germany, Spain, Finland and Czech Republic). Each soil sample was treated with conventional and biodegradable microplastics (two different concentrations), and each soil was incubated in the laboratorial conditions. The bacterial V4-V5 region of the 16S rRNA gene was amplified using primers 515F-926R, and the fungal ITS genomic region was amplified using the fITS7 and the ITS4 primers. After the purification, the amplicon library was sequenced on an Illumina MiSeq platform. The bacterial taxonomy of each amplicon sequence variant (ASV) was assigned using the database. The alpha diversity indices and relative abundances of bacterial and fungal communities were analysed, and the beta diversity was visualized using Bray-Curtis distances. 1. PAPILLONS European Spatial Survey: Microbial community in relation to microplastic load in European field soils DOI and link in Zenodo: Sequence data will be uploaded in NCBI, other data in Zenodo Dataset current status: The dataset is currently completed in proportion of 60 percent. The expected delivery date of the corresponding dataset on PAPILLONS Zenodo Community and NCBI is June 2024. Template: Horizon 2020 Type: Dataset D5.4 – Data Management Plan 151 27.1. Data Summary What is the purpose of the data collection/generation and its relation to the objectives of the project? To obtain information What are the types of the described generated/collected data? Other What are the formats of the described generated/collected data? Text files What is the origin of the described data? Other What is the expected size of the described data? MB (megabyte) To whom might it be useful ('data utility')? • Researchers • Research communities • Decision makers 27.2. Reused Data Are you re-using the described data and how? No Making data findable, including provisions for metadata Will you use metadata to describe the data? Yes DataCite Metadata Schema Will your metadata use standardised vocabularies? Yes Please provide URL/Description of used vocabularies a. https://opendefinition.org/ D5.4 – Data Management Plan 152 license b. https://www.crossref.org/services/funder-registry/ funders Will you make the metadata available free-of-charge? Yes Will your metadata be harvestable? Yes Will you use naming conventions for your data? Yes Will you provide clear version numbers for your data? Yes Will you provide persistent identifiers for the described data? Yes Persistent identifiers DOI Will you provide searchable metadata for the described data? Yes Metadata is indexed and searchable directly in Zenodo’ s search engine immediately after publishing and sent to DataCite servers and indexed What services will you use to provide searchable metadata? Registry/Catalogue Please provide URL/Name for the used searchable metadata https://zenodo.org/communities/papillons/records?q=&l=list&p=1&s=10&sort=newest Zenodo Will you use standardised formats for the described data? Yes Are the file formats you will use open? Yes Do supported open-source tools exist for accessing the data?