BlueTools_Data Management plan_V2

Bluetools Data Management Plan Version 1 Description All collected data and research outputs of BLUETOOLS will be in line with the FAIR principle (Findable, Accessible, Interoperable and Re-usable) and will be managed according to BLUETOOLS’s Data Management Plan (DMP, this document). The DMP addresses data organisation and curation, and adequate provisions for its access, preservation, sharing, and eventual deletion, both during and after the lifetime of the BLUETOOLS project. The types of data/research output generated during BLUETOOLS are expected to be experimental and operational data in the form of 3D Protein Structures, DNA sequences, screening data, microscopic data, enzyme kinetics, LC or LC/MS analytical data, both raw and processed. Processed data include enzyme kinetics results, engineered enzyme sequences, refined protein structures, literature data, presentations and other communication documents. Funder Grant European Commission||EC INNOVATIVE TOOLS FOR SUSTAINABLE EXPLORATION OF MARINE MICROBIOMINNOVATIVE TOOLS FOR SUSTAINABLE LICENSE:- DOI: - 10/10/2025 EXPLORATION OF MARINE MICROBIOMES: TOWARDS A CIRCULAR BLUE BIOECONOMY AND HEALTHIER MARINE ENVIRONMENTS (corda_____he::101081957) Researchers José Eduardo González-Pastor (orcid:0000-0002-7615-7042), Andras Kotschy (orcid:0000-0002-7675-3864), Jörn Kalinowski (orcid:0000-0002-9052-1998), simon charnock (orcid:0000-00034437-7419), Anna Lewin (orcid:0000-0002-2016-2467), Oded Beja (orcid:0000-0001-6629-0192), Gábor Tasnádi (orcid:0000-00024877-1889), Alexander Sczyrba (orcid:0000-0002-4405-3847), Rahmi Lale (orcid:0000-0001-5460-3163), Aurelio Hidalgo (orcid:0000-0001-5740-5584), Gabrielle Potocki-Veronese (orcid:0000-0003-4232-230X), Josefa Anton (orcid:0000-0002-5823493X), Florian Hollfelder (orcid:0000-0002-1367-6312) Organizations Institut National des Sciences Appliquées de Toulouse, Universidad de Alicante, EUROPEAN SCIENCE COMMUNICATION INSTITUTE (ESCI) GGMBH, SINTEF AS, PROZOMIX LIMITED, Contactica, UNI: Technion -Israel Institute of Technolog y Haifa IL, Data Management Plan | Bluetools Data Management Plan LICENSE:- DOI: - 10/10/2025 The Chancellor, Masters, and Scholars of the University of Cambridge, NORGES TEKNISK-NATURVITENSKAPELIGE UNIVERSITET NTNU, Bielefeld University, Bielefeld, Germany, UNI: Universidad Autonoma de Madrid Madrid E, BASF SE Data Management Plan | Bluetools Data Management Plan LICENSE:- DOI: - 10/10/2025 1. Main Info Title of DMP: Bluetools Data Management Plan Description: All collected data and research outputs of BLUETOOLS will be in line with the FAIR principle (Findable, Accessible, Interoperable and Re-usable) and will be managed according to BLUETOOLS’s Data Management Plan (DMP, this document). The DMP addresses data organisation and curation, and adequate provisions for its access, preservation, sharing, and eventual deletion, both during and after the lifetime of the BLUETOOLS project. The types of data/research output generated during BLUETOOLS are expected to be experimental and operational data in the form of 3D Protein Structures, DNA sequences, screening data, microscopic data, enzyme kinetics, LC or LC/MS analytical data, both raw and processed. Processed data include enzyme kinetics results, engineered enzyme sequences, refined protein structures, literature data, presentations and other communication documents. Researchers: José Eduardo González-Pastor (orcid:0000-0002-7615-7042) Andras Kotschy (orcid:0000-0002-7675-3864) Jörn Kalinowski (orcid:0000-0002-9052-1998) simon charnock (orcid:0000-0003-4437-7419) Anna Lewin (orcid:0000-0002-2016-2467) Oded Beja (orcid:0000-0001-6629-0192) Gábor Tasnádi (orcid:0000-0002-4877-1889) Alexander Sczyrba (orcid:0000-0002-4405-3847) Rahmi Lale (orcid:0000-0001-5460-3163) Aurelio Hidalgo (orcid:0000-0001-5740-5584) Gabrielle Potocki-Veronese (orcid:0000-0003-4232-230X) Josefa Anton (orcid:0000-0002-5823-493X) Florian Hollfelder (orcid:0000-0002-1367-6312) Data Management Plan | Bluetools Data Management Plan LICENSE:- DOI: - 10/10/2025 Organizations: Institut National des Sciences Appliquées de Toulouse Universidad de Alicante EUROPEAN SCIENCE COMMUNICATION INSTITUTE (ESCI) GGMBH SINTEF AS PROZOMIX LIMITED Contactica UNI: Technion -Israel Institute of Technolog y Haifa IL The Chancellor, Masters, and Scholars of the University of Cambridge NORGES TEKNISK-NATURVITENSKAPELIGE UNIVERSITET NTNU Bielefeld University, Bielefeld, Germany UNI: Universidad Autonoma de Madrid Madrid E BASF SE Contact: Alexander Sczyrba ([email protected]) 2. Funding Funding organizations: European Commission||EC Grants: INNOVATIVE TOOLS FOR SUSTAINABLE EXPLORATION OF MARINE MICROBIOMINNOVATIVE TOOLS FOR SUSTAINABLE EXPLORATION OF MARINE MICROBIOMES: TOWARDS A CIRCULAR BLUE BIOECONOMY AND HEALTHIER MARINE ENVIRONMENTS (corda_____he::101081957) Project: INNOVATIVE TOOLS FOR SUSTAINABLE EXPLORATION OF MARINE MICROBIOMINNOVATIVE TOOLS FOR SUSTAINABLE EXPLORATION OF MARINE MICROBIOMES: TOWARDS A CIRCULAR BLUE BIOECONOMY AND HEALTHIER MARINE ENVIRONMENTS 3. License License: Access Rights: Restricted Data Management Plan | Bluetools Data Management Plan LICENSE:- DOI: - 10/10/2025 4. Templates Descriptions Microscopy images Microscopy images generated during the BlueTools project Template: Horizon Europe Type: Dataset 1 Summary 1.1 Brief description of the described research output 1.1.1 What kind of research output are you describing? Other 1.1.2 Is it physical or digital? Digital 1.1.3 Are you generating or re-using it? New 1.1.4 What is the type of the described dataset? Other Image files 1.1.5 What is its format? Image files (.png, .tif, .jpg) 1.1.6 What is its expected size? 500 Gb 1.1.7 Why are you collecting/generating or re-using it? Data Management Plan | Bluetools Data Management Plan LICENSE:- DOI: - 10/10/2025 Other Images acquired during cultivation experiments in BlueTools 1.1.8 What is its origin / provenance? Generated by beneficiaries 1.1.9 To whom might it be useful ('data utility')? • Researchers • Education • The public • Industry 2 Links Between Outputs 2.1 Publications 2.1.1 Does the described output support any scientific publication? No 2.1.2 Is there a data availability statement provided along with the publication? No 2.2 Datasets 2.2.1 Does the described output use or support any published dataset? No 2.3 Software 2.3.1 Does the described output use or support any software? No Data Management Plan | Bluetools Data Management Plan LICENSE:- DOI: - 10/10/2025 3 FAIR Practices 3.1 Making data and other outputs findable, including provisions for metadata 3.1.1 Making data findable, including provisions for metadata 3.1.1.1 What type(s) of persistent identifier(s) are used for the described dataset / output? Data identifiers DOI A DOI will be assigned upon uploading to the BlueTools community in Zenodo 3.1.1.2 Will you provide metadata for the described dataset / output? Yes All metadata is stored internally in JSON-format and can be exported in several standard formats such as MARCXML, Dublin Core, and DataCite Metadata Schema (according to the OpenAIRE Guidelines). 3.1.1.3 What type(s) of metadata? Descriptive 3.1.1.4 Do the metadata use standardised vocabularies? No 3.1.1.6 Are the metadata searchable? Yes 3.1.1.8 Are keywords provided in the metadata? Yes Tags relative to organism 3.1.1.9 Are metadata harvestable? Yes All metadata on Zenodo is exported via OAI-PMH and can be harvested. Data Management Plan | Bluetools Data Management Plan LICENSE:- DOI: - 10/10/2025 3.2 Making data and other outputs openly accessible 3.2.1 Repository 3.2.1.1 In which repository will the dataset / output be deposited? Zenodo https://zenodo.org 3.2.1.2 Is the selected repository a trusted source? Yes • Supports retention • Supports withdrawal • Supports back up • Provides Open Access content (free at the point of use) • Assigns PIDs • Supports midand long-term preservation 3.2.1.4 Add appropriate arrangements made with the repository(ies) where the described dataset will be deposited None 3.2.1.5 Does the repository(ies) assign datasets / outputs with persistent identifiers? Yes 3.2.1.6 Does the repository(ies) resolve the identifiers to a digital object? Yes 3.2.1.7 Does the repository support versioning? Unknown 3.2.2 Data 3.2.2.2 How is the dataset / output shared? Data Management Plan | Bluetools Data Management Plan LICENSE:- DOI: - 10/10/2025 3 FAIR Practices 3.1 Making data and other outputs findable, including provisions for metadata 3.1.1 Making data findable, including provisions for metadata 3.1.1.1 What type(s) of persistent identifier(s) are used for the described dataset / output? Data identifiers DOI 3.1.1.2 Will you provide metadata for the described dataset / output? No 3.2 Making data and other outputs openly accessible 3.2.1 Repository 3.2.1.1 In which repository will the dataset / output be deposited? Zenodo https://zenodo.org 3.2.1.2 Is the selected repository a trusted source? Yes • Supports retention • Supports withdrawal • Supports back up • Provides Open Access content (free at the point of use) • Assigns PIDs • Supports midand long-term preservation 3.2.1.4 Add appropriate arrangements made with the repository(ies) where the described dataset will be deposited None Data Management Plan | Bluetools Data Management Plan LICENSE:- DOI: - 10/10/2025 3.2.1.5 Does the repository(ies) assign datasets / outputs with persistent identifiers? Yes 3.2.1.6 Does the repository(ies) resolve the identifiers to a digital object? Yes 3.2.1.7 Does the repository support versioning? Unknown 3.2.2 Data 3.2.2.2 How is the dataset / output shared? Open 3.2.2.5 Are there any methods or tools required to access the dataset / output? No 3.2.2.8 Is the described dataset / output supported by a data access committee? No 3.2.2.9 Please specify how the dataset / output will be accessed during and after the project ends Materials will be openly accessible in Zenodo during and after the project ends. 3.2.2.10 Please specify how long after the project has ended the dataset / output will be made accessible for 10 years 3.2.3 Metadata 3.2.3.1 Will you provide metadata even if the described dataset / output can not be openly shared? No Data Management Plan | Bluetools Data Management Plan LICENSE:- DOI: - 10/10/2025 3.2.3.2 Under which license will metadata be provided? Creative Commons Zero (CC0) 3.2.3.3 Do metadata provide information about how to access the described dataset / output? No 3.2.3.4 Will metadata remain available after the dataset / output is no longer available? No 3.3 Making data and other outputs interoperable 3.3.1 Does your (meta)data use a controlled vocabulary? No 3.3.3 Have you applied a standard schema for your (meta)data? No 3.3.4 Will you provide a mapping to more commonly used ontologies? No 3.3.5 What is the methodology followed? Not applicable 3.3.6 What community-endorsed interoperability best practices are followed? Not applicable 3.3.7 Does the described dataset / output provide qualified references with other outputs? No 3.4 Increasing data and other outputs reuse 3.4.1 What internationally recognised licence will you use for your dataset / output? Creative Commons Attribution-NonCommercial 4.0 Data Management Plan | Bluetools Data Management Plan LICENSE:- DOI: - 10/10/2025 3.4.2 What reusability and / or reproducibility methods are followed? Other Not applicable 3.4.3 Will you provide the described dataset / output in the public domain? Yes 3.4.4 Do you intend to ensure (re)use by third parties after your project finishes? Yes 3.4.5 Is provenance well documented? No 3.4.6 What documented procedures for quality assurance do you have in place? Set up of scientific and technical committee 4 Allocation of Resources 4.1 Allocation of resources 4.1.1 What will be the cost of making the described output FAIR? 30000 Euro Other curation Direct cost 4.1.2 How will this cost be covered? • Use of institution infrastructure • Other Budget for data curation has been allocated to partner UNIBI as lead partner of Data Management task 1.2 of BlueTools project. Data Management Plan | Bluetools Data Management Plan LICENSE:- DOI: - 10/10/2025 4.1.3 Identify the people who will be responsible and their role(s) in the management of the described output Alexander Sczyrba (orcid: 0000-0002-4405-3847) 5 Security 5.1 Data Security 5.1.1 What security measures are followed? Not applicable 5.1.2 What conditions do the security measures meet? Not applicable 5.1.3 How will you preserve the described dataset / output in the long term? Data preservation 6 Ethical Aspects 6.1 Ethical aspects 6.1.1 Are there any ethical or legal issues that can have an impact on sharing the described dataset / output? no 6.1.2 Does the described dataset / output contain sensitive information? No 7 Other Issues 7.1 Other 7.1.1 Do you make use of other procedures for data management? No Data Management Plan | Bluetools Data Management Plan LICENSE:- DOI: - 10/10/2025 Structural models of proteins Protein structures based on x-ray diffraction and/or computational modelling. Template: Horizon Europe Type: Dataset 1 Summary 1.1 Brief description of the described research output 1.1.1 What kind of research output are you describing? Research Data 1.1.2 Is it physical or digital? Digital 1.1.3 Are you generating or re-using it? New 1.1.4 What is the type of the described dataset? Experimental Structural models created from X-ray diffraction experiments performed on protein crystals or bioinformatics modeling performed with protein sequences 1.1.5 What is its format? PDB 1.1.6 What is its expected size? 500 GB 1.1.7 Why are you collecting/generating or re-using it? Data Management Plan | Bluetools Data Management Plan LICENSE:- DOI: - 10/10/2025 • To obtain information • To make informed decisions • To develop a product 1.1.8 What is its origin / provenance? Structural models created by X-ray crystallography or bioinformatic modeling. 1.1.9 To whom might it be useful ('data utility')? • Researchers • Research communities • Education • Industry 2 Links Between Outputs 2.1 Publications 2.1.1 Does the described output support any scientific publication? No 2.1.2 Is there a data availability statement provided along with the publication? No 2.3 Software 2.3.1 Does the described output use or support any software? No 3 FAIR Practices 3.1 Making data and other outputs findable, including provisions for metadata 3.1.1 Making data findable, including provisions for metadata 3.1.1.1 What type(s) of persistent identifier(s) are used for the described dataset / output? Data identifiers Data Management Plan | Bluetools Data Management Plan LICENSE:- DOI: - 10/10/2025 X-ray crystallography structures will be deposited in the PDB and have a PDB code. Models will be assigned a DOI upon deposition in the Zenodo repository (BlueTools community) 3.1.1.2 Will you provide metadata for the described dataset / output? Yes 3.1.1.3 What type(s) of metadata? Descriptive Metadata includes the protein structure, experiment details, data quality, and other relevant biological and biochemical properties. 3.1.1.4 Do the metadata use standardised vocabularies? Yes 3.1.1.6 Are the metadata searchable? Yes 3.1.1.7 How are searchable metadata provided? Linked Open Data 3.1.1.8 Are keywords provided in the metadata? Yes Tags relative to organism, protein models and gene IDs 3.1.1.9 Are metadata harvestable? PDB metadata is harvestable via a RESTful API through RCSB (Research Collaboratory for Structural Bioinformatics) 3.2 Making data and other outputs openly accessible 3.2.1 Repository 3.2.1.1 In which repository will the dataset / output be deposited? PDB-REDO Data Management Plan | Bluetools Data Management Plan LICENSE:- DOI: - 10/10/2025 https://pdb-redo.eu/ 3.2.1.2 Is the selected repository a trusted source? Yes • Has an open access content policy • Provides Open Access content (free at the point of use) 3.2.1.4 Add appropriate arrangements made with the repository(ies) where the described dataset will be deposited PBD-REDO places no restrictions on the use or distribution of the data 3.2.1.5 Does the repository(ies) assign datasets / outputs with persistent identifiers? Yes 3.2.1.6 Does the repository(ies) resolve the identifiers to a digital object? yes 3.2.1.7 Does the repository support versioning? No 3.2.2 Data 3.2.2.2 How is the dataset / output shared? Open 3.2.2.5 Are there any methods or tools required to access the dataset / output? No 3.2.2.8 Is the described dataset / output supported by a data access committee? No 3.2.2.9 Please specify how the dataset / output will be accessed during and after the project ends Data Management Plan | Bluetools Data Management Plan LICENSE:- DOI: - 10/10/2025 PDB repositories (American, European, Japanese mirrors) will be maintained after the life of the project. 3.2.2.10 Please specify how long after the project has ended the dataset / output will be made accessible for 10 years 3.2.3 Metadata 3.2.3.1 Will you provide metadata even if the described dataset / output can not be openly shared? No 3.2.3.2 Under which license will metadata be provided? Creative Commons Zero (CC0) 3.2.3.3 Do metadata provide information about how to access the described dataset / output? No 3.2.3.4 Will metadata remain available after the dataset / output is no longer available? No 3.3 Making data and other outputs interoperable 3.3.1 Does your (meta)data use a controlled vocabulary? Yes several key fields uses controlled vocabularies. Enzymes in PDB entries are annotated with Enzyme Commission (EC) numbers, which are a widely accepted, hierarchical classification for enzymes based on the reactions they catalyze. PDB uses standardized protein, nucleic acid, and complex names in line with resources such as UniProt and Gene Ontology. 3.3.3 Have you applied a standard schema for your (meta)data? Yes Data Management Plan | Bluetools Data Management Plan LICENSE:- DOI: - 10/10/2025 3.1.1.8 Are keywords provided in the metadata? Yes Tags relative to organism, genes, and protein names. 3.1.1.9 Are metadata harvestable? Yes metadata is harvestable via UniProt REST API that enables users to query the database and retrieve metadata in a structured format like XML, JSON, or text. 3.2 Making data and other outputs openly accessible 3.2.1 Repository 3.2.1.1 In which repository will the dataset / output be deposited? UniProtKB/Swiss-Prot https://www.uniprot.org/ 3.2.1.2 Is the selected repository a trusted source? Yes • Has an open access content policy • Supports back up • Provides Open Access content (free at the point of use) • Assigns PIDs • Supports midand long-term preservation 3.2.1.4 Add appropriate arrangements made with the repository(ies) where the described dataset will be deposited Uniprot places no restrictions on the use or distribution of the data 3.2.1.5 Does the repository(ies) assign datasets / outputs with persistent identifiers? Yes Data Management Plan | Bluetools Data Management Plan LICENSE:- DOI: - 10/10/2025 3.2.1.7 Does the repository support versioning? No 3.2.2 Data 3.2.2.1 What is the described dataset / output title? Enzyme sequence 3.2.2.2 How is the dataset / output shared? Open Data supporting publications are open. Specific beneficiaries will keep their data closed because opening their data goes against their legitimate interests. Data subject to ABS will be made open depending on the specific terms and conditions of the datasets. 3.2.2.5 Are there any methods or tools required to access the dataset / output? No 3.2.2.8 Is the described dataset / output supported by a data access committee? No 3.2.2.9 Please specify how the dataset / output will be accessed during and after the project ends Data made open, including data supporting publications will remain open after the lifetime of the project. Repositories chosen hold data for longer than 10 years (Uniprot, Zenodo). Specific beneficiaries who keep their data closed because opening their data goes against their legitimate interests may choose to make them open in a repository with >10 years persistence. 3.2.2.10 Please specify how long after the project has ended the dataset / output will be made accessible for Data Management Plan | Bluetools Data Management Plan LICENSE:- DOI: - 10/10/2025 As per the BlueTools DoA, data will be available in open, trusted repositories for at least 10 years 3.2.3 Metadata 3.2.3.1 Will you provide metadata even if the described dataset / output can not be openly shared? No 3.2.3.2 Under which license will metadata be provided? Creative Commons Zero (CC0) 3.2.3.3 Do metadata provide information about how to access the described dataset / output? No 3.2.3.4 Will metadata remain available after the dataset / output is no longer available? No 3.3 Making data and other outputs interoperable 3.3.1 Does your (meta)data use a controlled vocabulary? Yes https://www.uniprot.org/help/controlled_vocabulary 3.3.3 Have you applied a standard schema for your (meta)data? Yes Couldn't find it? Insert it manually https://fairsharing.org/MIBBI 3.3.7 Does the described dataset / output provide qualified references with other outputs? Data Management Plan | Bluetools Data Management Plan LICENSE:- DOI: - 10/10/2025 No 3.4 Increasing data and other outputs reuse 3.4.1 What internationally recognised licence will you use for your dataset / output? Creative Commons Attribution-NonCommercial 4.0 3.4.3 Will you provide the described dataset / output in the public domain? Yes 3.4.4 Do you intend to ensure (re)use by third parties after your project finishes? Yes 3.4.5 Is provenance well documented? Yes 3.4.6 What documented procedures for quality assurance do you have in place? • Use of tools for automatic checks • Data conform to format specification 4 Allocation of Resources 4.1 Allocation of resources 4.1.1 What will be the cost of making the described output FAIR? 30000 Euro Other curation Direct cost 4.1.2 How will this cost be covered? • Use of national infrastructure • Use of institution infrastructure Data Management Plan | Bluetools Data Management Plan LICENSE:- DOI: - 10/10/2025 • Other Budget for data curation has been allocated to partner UNIBI as lead partner of Data Management task 1.2 of BlueTools project. 4.1.3 Identify the people who will be responsible and their role(s) in the management of the described output Alexander Sczyrba (orcid: 0000-0002-4405-3847) 5 Security 5.1 Data Security 5.1.1 What security measures are followed? Firewall Data are stored on the de.NBI cloud storage behind firewall protection. 5.1.2 What conditions do the security measures meet? • Data access • Data storage • Data recovery Data access is authorized and authenticated via Life science AAI. Data is redundantly stored on the de.NBI cloud to ensure data recovery in case of hardware failure 6 Ethical Aspects 6.1 Ethical aspects 6.1.1 Are there any ethical or legal issues that can have an impact on sharing the described dataset / output? no 6.1.2 Does the described dataset / output contain sensitive information? No 6.1.3 Does the described dataset / output contain personal data? Data Management Plan | Bluetools Data Management Plan LICENSE:- DOI: - 10/10/2025 No 7 Other Issues 7.1 Other 7.1.1 Do you make use of other procedures for data management? No Data Management Plan | Bluetools Data Management Plan LICENSE:- DOI: - 10/10/2025 Protocols Protocols for metagenomic DNA extraction generated during the BlueTools project Template: Horizon Europe Type: Dataset 1 Summary 1.1 Brief description of the described research output 1.1.1 What kind of research output are you describing? Other 1.1.2 Is it physical or digital? Digital 1.1.3 Are you generating or re-using it? New 1.1.4 What is the type of the described dataset? Other Text documents 1.1.5 What is its format? text documents (.odt, .pdf) 1.1.6 What is its expected size? 500 Gb Data Management Plan | Bluetools Data Management Plan LICENSE:- DOI: - 10/10/2025 1.1.7 Why are you collecting/generating or re-using it? Other Protocols developed and optimized during BlueTools 1.1.8 What is its origin / provenance? Generated by beneficiaries 1.1.9 To whom might it be useful ('data utility')? • Researchers • Education • The public • Industry 2 Links Between Outputs 2.1 Publications 2.1.1 Does the described output support any scientific publication? No 2.1.2 Is there a data availability statement provided along with the publication? No 2.2 Datasets 2.2.1 Does the described output use or support any published dataset? No 2.3 Software 2.3.1 Does the described output use or support any software? No Data Management Plan | Bluetools Data Management Plan LICENSE:- DOI: - 10/10/2025 3 FAIR Practices 3.1 Making data and other outputs findable, including provisions for metadata 3.1.1 Making data findable, including provisions for metadata 3.1.1.1 What type(s) of persistent identifier(s) are used for the described dataset / output? Data identifiers DOI A DOI will be assigned upon uploading to the BlueTools community in Zenodo 3.1.1.2 Will you provide metadata for the described dataset / output? No 3.2 Making data and other outputs openly accessible 3.2.1 Repository 3.2.1.1 In which repository will the dataset / output be deposited? Zenodo https://zenodo.org 3.2.1.2 Is the selected repository a trusted source? Yes • Supports retention • Supports withdrawal • Supports back up • Provides Open Access content (free at the point of use) • Assigns PIDs • Supports midand long-term preservation 3.2.1.4 Add appropriate arrangements made with the repository(ies) where the described dataset will be deposited Data Management Plan | Bluetools Data Management Plan LICENSE:- DOI: - 10/10/2025 None 3.2.1.5 Does the repository(ies) assign datasets / outputs with persistent identifiers? Yes 3.2.1.6 Does the repository(ies) resolve the identifiers to a digital object? Yes 3.2.1.7 Does the repository support versioning? Unknown 3.2.2 Data 3.2.2.2 How is the dataset / output shared? Open 3.2.2.5 Are there any methods or tools required to access the dataset / output? No 3.2.2.8 Is the described dataset / output supported by a data access committee? No 3.2.2.9 Please specify how the dataset / output will be accessed during and after the project ends Materials will be openly accessible in Zenodo during and after the project ends. 3.2.2.10 Please specify how long after the project has ended the dataset / output will be made accessible for 10 years 3.2.3 Metadata 3.2.3.1 Will you provide metadata even if the described dataset / output can not be openly shared? Data Management Plan | Bluetools Data Management Plan LICENSE:- DOI: - 10/10/2025 MiXS standard from the Genomics Standard Consortium 3.1.1.6 Are the metadata searchable? Yes 3.1.1.7 How are searchable metadata provided? Other Metadata are included with the BioSample information. A structured description are included in the BioSample information. All items within are indexed and searchable 3.1.1.8 Are keywords provided in the metadata? Yes Tags relative to organism, links to other bio samples within the same BioProject, technology used for sequencing 3.1.1.9 Are metadata harvestable? Yes NCBI BioProject provides APIs and FTP services to access the SRA data. Large datasets can be accessed via cloud services like AWS or Google Cloud. 3.2 Making data and other outputs openly accessible 3.2.1 Repository 3.2.1.1 In which repository will the dataset / output be deposited? NCBI BioProject https://www.ncbi.nlm.nih.gov/bioproject/ 3.2.1.2 Is the selected repository a trusted source? Yes • Has an open access content policy • Supports back up Data Management Plan | Bluetools Data Management Plan LICENSE:- DOI: - 10/10/2025 • Provides Open Access content (free at the point of use) • Assigns PIDs • Supports midand long-term preservation 3.2.1.4 Add appropriate arrangements made with the repository(ies) where the described dataset will be deposited NCBI places no restrictions on the use or distribution of the data . 3.2.1.5 Does the repository(ies) assign datasets / outputs with persistent identifiers? Yes 3.2.1.6 Does the repository(ies) resolve the identifiers to a digital object? Yes. Several samples with unique identifiers are contained within the same bioproject. 3.2.1.7 Does the repository support versioning? Unknown 3.2.2 Data 3.2.2.2 How is the dataset / output shared? Open Data supporting publications are open. Specific beneficiaries will keep their data closed because opening their data goes against their legitimate interests. Data subject to ABS will be made open depending on the specific terms and conditions of the datasets. 3.2.2.5 Are there any methods or tools required to access the dataset / output? No 3.2.2.8 Is the described dataset / output supported by a data access committee? No Data Management Plan | Bluetools Data Management Plan LICENSE:- DOI: - 10/10/2025 3.2.2.9 Please specify how the dataset / output will be accessed during and after the project ends Data made open, including data supporting publications will remain open after the lifetime of the project. Repositories chosen hold data for longer than 10 years (NCBI, Zenodo). Specific beneficiaries who keep their data closed because opening their data goes against their legitimate interests may choose to make them open in a repository with >10 years persistence. 3.2.2.10 Please specify how long after the project has ended the dataset / output will be made accessible for As per the BlueTools DoA, data will be available in open, trusted repositories for at least 10 years 3.2.3 Metadata 3.2.3.1 Will you provide metadata even if the described dataset / output can not be openly shared? No Acquisition of metagenomic data in Bluetools involve collecting metadata in MiXs standard. Only datasets shared openly will also share the metadata 3.2.3.2 Under which license will metadata be provided? Creative Commons Zero (CC0) 3.2.3.3 Do metadata provide information about how to access the described dataset / output? No 3.2.3.4 Will metadata remain available after the dataset / output is no longer available? No 3.3 Making data and other outputs interoperable 3.3.1 Does your (meta)data use a controlled vocabulary? Yes Data Management Plan | Bluetools Data Management Plan LICENSE:- DOI: - 10/10/2025 https://genomicsstandardsconsortium.github.io/mixs/0010007/ 3.3.3 Have you applied a standard schema for your (meta)data? Yes Couldn't find it? Insert it manually http://rd-alliance.github.io/metadata-directory/standards/mibbi-minimuminformation-biological-and-biomedical-investigations.html 3.3.7 Does the described dataset / output provide qualified references with other outputs? No 3.4 Increasing data and other outputs reuse 3.4.1 What internationally recognised licence will you use for your dataset / output? Creative Commons Attribution-NonCommercial 4.0 3.4.2 What reusability and / or reproducibility methods are followed? Readme files 3.4.3 Will you provide the described dataset / output in the public domain? Yes 3.4.4 Do you intend to ensure (re)use by third parties after your project finishes? Yes 3.4.5 Is provenance well documented? No 3.4.6 What documented procedures for quality assurance do you have in place? • Use of tools for automatic checks • Data conform to format specification • Other Data Management Plan | Bluetools Data Management Plan LICENSE:- DOI: - 10/10/2025 We have developed an automated data submission tool for Bluetools metagenomics sequencing data to comprehensively upload our sequencing data to the European Nucleotide Archive (ENA). The tool, called subMG, has been published and is publicly available. 4 Allocation of Resources 4.1 Allocation of resources 4.1.1 What will be the cost of making the described output FAIR? 30000 Euro Other curation Direct cost 4.1.2 How will this cost be covered? • Use of national infrastructure • Use of institution infrastructure • Other Budget for data curation has been allocated to partner UNIBI as lead partner of Data Management task 1.2 of BlueTools project. 4.1.3 Identify the people who will be responsible and their role(s) in the management of the described output Alexander Sczyrba (orcid: 0000-0002-4405-3847) 5 Security 5.1 Data Security 5.1.1 What security measures are followed? Firewall Data are stored on the de.NBI encrypted cloud storage behind firewall protection. Data Management Plan | Bluetools Data Management Plan LICENSE:- DOI: - 10/10/2025 5.1.2 What conditions do the security measures meet? • Data access • Data storage Data access is authorized and authenticated via Life science AAI. Data is redundantly stored on the de.NBI cloud to ensure data recovery in case of hardware failure 5.1.3 How will you preserve the described dataset / output in the long term? Sequence data sets will be deposited into public repositories like SRA, ENA, etc. 6 Ethical Aspects 6.1 Ethical aspects 6.1.1 Are there any ethical or legal issues that can have an impact on sharing the described dataset / output? no 6.1.2 Does the described dataset / output contain sensitive information? No 6.1.3 Does the described dataset / output contain personal data? No 7 Other Issues 7.1 Other 7.1.1 Do you make use of other procedures for data management? No Powered by Data Management Plan | Bluetools Data Management Plan LICENSE:- DOI: - 10/10/2025