Final data management plan. Report No D6.3 of the Horizon Europe Project 101082212 – PLANET4B

1.1.5 2 PLANET4B receives funding from the European Union’s Horizon Europe research and innovation programme under grant agreement No 101082212. This project is funded by UK Research and Innovation (UKRI) under the UK government’s Horizon Europe funding guarantee. This work has received funding from the Swiss State Secretariat for Education, Research and Innovation (SERI). Views and opinions are of those of the authors only and do not necessarily reflect those of the European Union, European Commission, the government of the United Kingdom, or the government of Switzerland. The European Union, the European Commission, the government of the United Kingdom, or the government of Switzerland cannot be held responsible for them. iii Key deliverable information Deliverable number D6.3 Deliverable title Final Data Management Plan (Version 3.0). Task leader Coventry University (CU) Dissemination level Public Status Final Deliverable description Updated Data Management Plan practices and recommendations to partners. Version Status Date Authors/Reviewers 0.1 Draft 14/10/25 Authors: PLANET4B ETHICS COMMITTEE [Alex Franklin (CU); Sandra Karner (IFZ); Robert Home (FiBL)] 0.2 Draft 17/10/2025 Reviewer: Agnes Zolyomi (MLU) 0.3 Draft 20/10/2025 Reviewers: All PLANET4B Research Partners 1.0 Final 29/10/2025 Authors: PLANET4B ETHICS COMMITTEE [Alex Franklin (CU); Sandra Karner (IFZ); Robert Home (FiBL)] 1.1 Final 30/10/2025 Reviewers: Edit Hunyadi (MLU); Ilkhom Soliev (MLU) Recommended citation Franklin, A., Karner, S. & Home, R. (2025). PLANET4B Final Data Management Plan (Version 3.0). Report No D6.3 of the Horizon Europe Project 101082212 – PLANET4B. Brussels: European Research Executive Agency. DOI: 10.5281/zenodo.17243617 Project acronym PLANET4B Project title understanding Plural values, intersectionality, Leverage points, Attitudes, Norms, behaviour and social lEarning in Transformation for Biodiversity decision making Starting date 01st November 2022 Duration 36 months Website https://planet4b.eu/ Project coordination and scientific lead team Ilkhom Soliev; Alex Franklin; Agnes Zolyomi; Torsten Wähler iv Rights and license This work is licensed under a Creative Commons Attribution 4.0 International License. The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited. Read more. v Table of Contents Key deliverable information ..................................................................................... iii Executive Summary ................................................................................................... 1 1 Introduction ............................................................................................................. 1 2 Data Summary ......................................................................................................... 2 3 FAIR data ................................................................................................................. 3 3.1 Making data findable, including provisions for metadata ........................................ 3 3.2 Making data openly accessible ................................................................................... 4 3.3 Making data interoperable ........................................................................................... 5 3.4 Increase data re-use (through clarifying licences) ................................................... 6 3.5 Allocation of resources ............................................................................................... 6 4 Data security ............................................................................................................ 7 4.1 Data to be stored .......................................................................................................... 7 4.2 Data storage .................................................................................................................. 8 4.3 Accessibility ................................................................................................................. 9 5 Ethical aspects ........................................................................................................ 9 5.1 Overview ....................................................................................................................... 9 5.2 Humans ....................................................................................................................... 10 5.3 Procedures and criteria to identify/recruit research participants ......................... 10 5.4 Informed consent procedures ................................................................................... 11 5.5 Templates of informed consent and information sheet ......................................... 12 5.6 Involvement of vulnerable individuals/groups and measures to prevent enhancing their vulnerability/stigmatisation .................................................................................... 12 5.7 Incidental findings policy .......................................................................................... 13 5.8 Securing consent/assent in the case of children and adults unable to give informed consent ............................................................................................................. 13 5.9 Research ‘in the field’ ................................................................................................ 13 5.10 Protection of Personal Data .................................................................................... 14 5.11 Confirmation of authorisation ................................................................................. 14 5.12 Justification of personal data collection ................................................................ 15 5.13 Templates of informed consent and information sheet ....................................... 15 5.14 Publicly available data ............................................................................................. 15 5.15 Data not publicly available ...................................................................................... 15 6 Third Countries ..................................................................................................... 15 6.1 Conformity with Horizon 2020, European Union, national and international legislation .......................................................................................................................... 15 6.2 Authorisation for importing of research data to the European Union .................. 16 vi 7 Data Management and the GDPR ........................................................................ 16 7.1 Personal data must be processed fairly and transparently ................................... 16 7.2 Personal data can only be collected for specified, explicit and legitimate purposes ........................................................................................................................................... 17 7.3 Personal data must be adequate, relevant and limited to what is necessary for processing ........................................................................................................................ 17 7.4 Personal data must be accurate and kept up to date ............................................. 17 7.5 Personal data must be kept in a form such that the data subject can be identified only as long as it is necessary for processing .............................................................. 17 7.6 Personal data must be processed in a manner that ensures its security ............ 17 7.7 The controller’s responsibility .................................................................................. 18 Annex 1 ..................................................................................................................... 19 Case Study Level Data Management Plans ........................................................... 19 DATA MANAGEMENT PLAN OF PLANET4B CASE STUDY: Urban Youth, Nature and Intersectionality, Germany (CGE/MLU) ........................................................... 19 DATA MANAGEMENT PLAN OF PLANET4B CASE STUDY: Opening nature to Black, Asian and ethnic minority groups, United Kingdom (DC/CU) .................. 24 DATA MANAGEMENT PLAN OF PLANET4B CASE STUDY: Agro-biodiversity management, Hungary (ESSRG) ............................................................................ 28 DATA MANAGEMENT PLAN OF PLANET4B CASE STUDY: Environmental awareness in education, Hungary (ESSRG) .......................................................... 32 DATA MANAGEMENT PLAN OF PLANET4B CASE STUDY: Agriculture and migration in the EU (FiBL) ....................................................................................... 36 DATA MANAGEMENT PLAN OF PLANET4B CASE STUDY: Agro-biodiversity and religion, Switzerland (FiBL) ..................................................................................... 39 DATA MANAGEMENT PLAN OF PLANET4B CASE STUDY: Biodiverse Edible City Graz, Austria (IFZ/FUG) .................................................................................... 43 DATA MANAGEMENT PLAN OF PLANET4B CASE STUDY: Nature Recreation, Oslo, Norway (NINA/OOF) ....................................................................................... 49 DATA MANAGEMENT PLAN OF PLANET4B CASE STUDY: Sustainable Investment Behaviour, Global-EU-Norway (NINA) ................................................ 53 DATA MANAGEMENT PLAN OF PLANET4B CASE STUDY: Trade and global value chains (soya/beef), Brazil, Netherlands/EU (RU) ........................................ 57 DATA MANAGEMENT PLAN OF PLANET4B CASE STUDY: From ‘ego-system to eco-system’ in fashion, Italy (UNIPI) ...................................................................... 62 Annex 2 ..................................................................................................................... 66 ETHICS: PLANET4B Informed Consent Template Forms .................................... 66 Part I: Information Sheet .................................................................................................. 66 Part II: Certificate of Informed Consent Form [Example template] ............................. 70 Annex 3 ..................................................................................................................... 71 vii PLANET4B Website Privacy Policy ........................................................................ 71 Introduction ...................................................................................................................... 71 Type of data and related treatment ................................................................................. 71 Purpose of data collection and treatment ...................................................................... 71 Data Controller ................................................................................................................. 72 Data protection and storage ............................................................................................ 72 Cookies Policy .................................................................................................................. 72 Legislation of personal data protection and treatment ................................................ 72 Duration of data process ................................................................................................. 73 Data transfer ..................................................................................................................... 73 Rights of Data Subject ..................................................................................................... 73 Changes to Privacy Notice .............................................................................................. 73 1 Executive Summary Alarming and continued loss of biodiversity now threatens both the biosphere and human life through failures in fundamental ecosystem service delivery. System-wide transformative changes are needed, including altering paradigms, behaviour and values (IPBES, 2019). To address this, PLANET4B provides insight into the diverse perceptions of biodiversity and its communication to understand behaviours and motivations around biodiversity prioritisation. Existing multidisciplinary behaviour theories (e.g. framing, nudging, leverage points) that could be applied for biodiversity decision-making are explored. Factors such as gender, religion, ethnicity, race, age, culture, disability have been reviewed to understand how they can potentially impact biodiversity perception and decision making. Founded on this knowledge, a transdisciplinary framework has been developed for changing attitudes and behaviour in a generative way, which actively embraces the transformative power of plural knowledges and intersectional diversity. Relevant behaviour change (e.g. experiential games, choice architecture), creative and deliberative (e.g. story-telling, community mapping, vegetable exhibition) methods have been adapted and applied in 11 placebased and sectoral cases from 8 countries, EU and at global level to explore the applicability of these theories and methods for triggering transformative change. Having monitored the impacts of these co-creative and participatory interventions in a range of key sectors, as well as socio-cultural and environmental settings, the findings have then been synthesised and scaled up to EU and global levels to serve as inputs for EU and international policies (e.g. implementation of the EU Biodiversity Strategy for 2030, post-2020 global biodiversity framework) and for businesses about how transformative change can be triggered. Target groups, sectors and institutions have open access to the findings and methods and are encouraged to use them to initiate transformative change. 1 Introduction This Data Management Plan (DMP) V3.0 explains how the PLANET4B project secured and managed data and how it complies with data management policies including the FAIR principles and the General Data Protection Regulation (GDPR). The DMP defines guidelines for all consortium members, inclusive of all individuals who have access to, manage and use the project data, on how to handle various types of data sensitivity and data security. This version (V3.0) of the PLANET4B DMP is the final of three scheduled iterations to be produced during the active lifetime of the project. It replaces version 2.0 (Deliverable 6.2) of May 2024. By implementing a staged approach to the planning and management of PLANET4B data throughout the lifetime of the project, we have been able to ensure that we remained responsive throughout to and up-to-date with any changes in methodological strategy at both the individual case study and overall project level. This precautionary approach is important given the participatory (action orientated) and generative approach that has formed the basis of PLANET4B. 2 This DMP is primarily concerned with the management of data for research purpose. In the case of data collected and stored – via the PLANET4B website – for the purpose of communicating research findings, this is governed by a separate data privacy policy, a copy of which is included as an Annex to this document. In the remainder of this document, firstly a data summary is provided, followed by sections on the FAIR Data Management principles and implications of the project, data security and ethical aspects as well as the GDPR principles integration to the project. The document concludes with an Annex containing corresponding individual case study level DMPs (Annex 1), template ‘Participant Information’ and ‘Informed Consent’ forms (Annex 2) and a copy of the PLANET4B website privacy policy (Annex 3). 2 Data Summary The purpose of the data collection and its relation to the objectives of the PLANET4B project has been to provide insight into the diverse perceptions of biodiversity and its communication to understand behaviours and motivations around biodiversity prioritisation. The data collection was required in order to understand 1) how factors such as gender, religion, ethnicity, race, age, culture, disability, norms, values and behaviour intersect and are implicated in biodiversity relevant decision-making across a range of different scales and settings; and in turn, 2) how best to channel this understanding of complexity into the design of stakeholder interventions, transformative pathways and a series of targeted (yet, scalable) policy recommendations, in order to prioritise biodiversity and halt biodiversity loss. The data collection has been centred around adapting and applying relevant behaviour change, creative and deliberative methods in 11 intensive/place-based and extensive/sectoral cases from 8 countries, EU and at global level to explore the applicability of these theories and methods for triggering transformative change. This activity was complimented by the use of a mix of more traditional deskand field-based social science methods alongside, including for the purposes of measuring the impact of any interventions undertaken. PLANET4B involves both primary and secondary data collection. The project commenced with desk-based secondary data collection (e.g. literature reviews) and also consortium partner workshops (Work Packages 1, 2 and 3). As an integral part of this first stage (particularly months 1-9) consortium partners were also asked to make known to Task leaders any existing data sets which have relevance to the project (including, if applicable, reducing the requirement for primary data collection in instances where the required data/information already exists). In relation to the primary data collection associated with the 11 case studies, exact data collection methods were agreed upon during months 9-30 (for further detail on data collection methods per case study see Annex 1) – this extended period for finalisation of individual methods to be applied being in accordance with the action research orientated nature of the PLANET4B case study work. In the case of the intensive place-based case studies, in addition to standard social science research methods (e.g. interviews, focus groups, survey) all featured at least one form of generative intervention method and in some cases a combination of more 9 As the storage of research records through the use of cloud computing offered by private service providers such as Apple, Google, Amazon, etc. can carry significant governance and management risks, their use was not advised, unless doing so is a requirement of the host partner institution. To store records, PLANET4B partners were advised to use a folder structure based on the functions and activities of their individual tasks. This made it easier to share information with other authorised personnel. 4.3 Accessibility Privacy and confidentiality of data have been guaranteed at all times, in line with legal requirements, consortium partner institution policy and best practice. Raw data is only available to the researchers directly involved in the associated case study and task. Access by third parties had to be negotiated with the project coordinator or directly associated consortium partner unless otherwise specified. Should ethical questions or concerns about the integrity of research data or data management be raised, access to data will be granted in line with legal requirements, partner institutional policy and guidance, and, where applicable, European Commission policy. Established guidelines for academic good practice, as for example provided by academic associations or research councils, will be consulted where appropriate. 5 Ethical aspects 5.1 Overview The PLANET4B consortium is committed to ethical research and to the principles described in the Charter of Fundamental Rights of the European Union, the European Convention on Human Rights and its supplementary Charter of Fundamental Rights of the European Union in Practice and has abided by the spirit of pioneering documents (such as the Nuremberg Code and the Declaration of Helsinki) and has carried out its activities according to standard procedures as advised by the European Commission. To safeguard the overall implementation of the respective ethical standards and provide consortium partners with support in addressing new ethical issues that arose during the programme, PLANET4B established an Ethics Committee (P4B-EC). It consisted of representatives from CU (Alex Franklin), IFZ (Sandra Karner) and FiBL (Robert Home). All members have extensive ethical expertise. In addition to overseeing consortium compliance with Research Ethics, the P4B-EC also took the lead in ensuring that PLANET4B consortium addressed all project objectives and requirements for best practice with respect to Equality, Diversity and Inclusion more broadly. The Ethics Committee met on a six-monthly basis (and ad hoc when required). It assisted the Steering Committee as an internal advisory committee, helping to ensure all the agreed ethical and safety regulations are followed, and advising if they need to be updated. The PLANET4B Ethics Committee also worked in close collaboration with the individual consortium partner institutions. 10 5.2 Humans The PLANET4B research has involved human participants as ‘volunteers for social or human sciences research’. The involvement of human participants refers to their role as respondents during method testing (WP2), individual case study based (WP3) and/or scaling up intervention activity (WP4, WP5), the latter including interactive and generative communication and dissemination activities. All research undertaken in connection with the 11 case studies of the PLANET4B programme (WP3) has been subject to the ethical standards in force at the respective associated lead case study partner institution, or in the case of consortium partners for whom no in-house ethical review board exists (FUG; OOF; DC; CGE; ESSRG), their involvement has been subject to the ethical standards of the directly associated research partner institution (respectively: IFZ; NINA; CU; MLU) and/or CU (the latter applying in the case of ESSRG). In the event no ethical standards were yet in force at one or more institutions, the research was subject to the ethical standards with regard to research with human participants set by the PLANET4B co-coordinating institute CU. 5.3 Procedures and criteria to identify/recruit research participants The research has involved voluntary participation of humans in the following type of individual and group research activities: serious games, story-telling workshops, indepth, semi-structured and structured interviews/surveys; mobile (walking) interviews, discussion groups; creative visualisation workshops; face-to-face meetings; online platforms; participant observation; action research; participative methods (including participatory film making); observation of group behaviour. None of those activities belong to any of the activities highlighted by the Ethical Issues Checklist. Participants have included community members; policymakers at different administrative levels; representatives of civil society organisations; representatives of local and international businesses; and representatives of profit and non-profit organisations such as schools and social enterprises. The participants were asked to give informed consent before taking part in research activities. In advance of being asked to give informed consent all participant rights as well as duties and obligations of the researchers were explained in an accompanying participant information sheet (see Annex 1). Where case studies required the recruitment of minors and/or vulnerable adults as part of the research, the PLANET4B ethics committee remained available should any additional support be requested by the associated partners in developing a purposefully adapted version of the participant information and informed consent sheets (no such support was requested). The recruitment of the participants has been based on their interest or participation in community environmental activities. Participants have included those who are engaged in self-directed environmental activities, community group activities, or private and public initiatives. Others have been contacted because of the relevance of their knowledge and experience about biodiversity practice, decision-making, behaviour change and/or collaborative forms of local environmental management. The data that the participants have been asked to provide is dependent on the individual case study or type of involvement (workshop, survey) and is further elaborated in Annex 1. 11 Each individual consortium partner has been consulted during the drafting of this final DMP V3.0. Furthermore, each has been tasked with identifying and communicating to the P4B-EC any/all ethical issues relating to their specific case. With regard to the identification and recruitment of research participants this has included – at regular intervals throughout the project (DMP V1.0, DMP V2.0, DMP V3.0): • How research participants have been involved in the project, with what aim, and how they are being recruited; • The choice of methods, e.g. serious games workshops, arts-based workshops, multi-stakeholder participation, interviews, observation, etc.; • How respondents have been informed about the collection, use, storage, sharing and ownership of the information; • The requirement that research participants sign a letter of consent; During the project this information was approved by the prevailing ethics review board at the project partner institution, or in the event of a partner not having an in-house ethics review board, either by the directly involved research partner, or by Coventry University ethics review board. Approval was secured prior to the commencement of any primary data collection. 5.4 Informed consent procedures Informed consent has been secured from all human participants whenever they participated in any PLANET4B primary data collection activities (see Annex 1). All participants have taken part in the research voluntarily and remained able to decide at any moment to discontinue their participation. The WP3 lead, working in collaboration with the P4B-EC and the co-ordinating institutions, finalised and approved informed consent participant information sheets for all potential participants in the project (see Annex 2), providing a clear written account of the goals of the research, the methods employed and use made of its results, as well as its relevance to the respondent and the implications of participation. This document was translated into all languages that were associated with primary data collection. The informed consent participant information sheets explain any potential risks that might be involved (for example being identified as part of a particular group or providing personal information by chance) and how confidentiality is ensured throughout the collection, analysis and dissemination of data. The informed consent participant information sheets also provide information on how and who to contact regarding any further questions about the project. The information was explained in person at the start of each new data collection activity, after which – unless for ethical reasons in a limited number of specific cases (e.g. blind participants) it was considered inappropriate to do so – the participants were asked to sign an informed consent form indicating their consent to participate in the research. In instances where, either an individual indicated that they wish to participate in the study but do not want to sign any formal documentation to this effect, or it was considered inappropriate to ask them to do so (see above), they were instead asked to provide oral consent. Such oral consent was either to be given in the presence of a witness, audio recorded or reconfirmed in writing in follow-on from the research (together with a reminder of all rights of participation (i.e. Participant information consent form). 12 In the case of any research activities involving minors (WP3 e.g. ‘Enabling intersectional nature recreation and biodiversity stewardship for urban resilience’ (Norway) case study; Environmental awareness raising in Education (Hungary) case study), adequate protection of children and young people was ensured. All information on the research was composed and communicated in an accessible manner and all minors were given adequate time to discuss the research with a trusted adult of their choice prior to being asked to confirm if they were willing to give informed consent for participation. In addition to securing the consent of the child, in accordance with national and institutional research ethics procedural requirements and good practice guidelines, permission was also secured from a legally recognised adult (e.g. parental consent). Where applicable any legal requirements for working with the specific population were met in full. All participants were informed that they could withdraw their consent with need for stating a reason. Permission was sought to digitally record data collection activities (audio, visual), record via creative drawn image-based capture, or to record them in writing, explaining that all possible steps would be taken to ensure confidentiality and anonymity of participants at the level of the individual (unless participants specifically requested otherwise). The researchers ensured that participants were aware of the archiving process, the accessibility of the data and asked for their consent to their research material being stored in this way. The researchers – in many instances - also produced photographs, drawings, videos, or other similar forms of creative visual data, for the purpose of dissemination on-line, in conferences and exhibitions, and in publications. The use of the visual material produced as part of PLANET4B is limited to dissemination about this project and will not be used otherwise, except where explicit consent has been given by participants. All PLANET4B beneficiaries have used the standard informed consent form, translated into the relevant languages, unless host partner regulations or national laws require specific adaptations. 5.5 Templates of informed consent and information sheet Templates of the informed consent forms and information sheet are kept on file and will be submitted upon request to the REA. Copies are included in the annex of this document (Annex 2). 5.6 Involvement of vulnerable individuals/groups and measures to prevent enhancing their vulnerability/stigmatisation Partners were informed about the procedures on the identification and recruitment of research participants in the specific context of vulnerable groups, as well as more broadly. The PLANET4B consortium partners ensured that all employed researchers were trained to be sensitive to the fact that additional care is imperative when working with vulnerable people and children. Two case studies (NINA, recreation and ESSRG, education) included ‘vulnerable individuals or groups’ (children). Further information on this, including the types of vulnerable individuals or groups, is included in their individual case study level DMPs (Annex 1) (together with confirmation that all associated institutional level ethical 13 approval were secured). Notably, participants drawn from such groups were limited either to persons able to give informed consent, or persons accompanied throughout by guardians with legal qualification to give consent on their behalf (e.g. in the case of minors, parental consent and/or consent of a teacher (where legal authority held to do so)). Given the potential for some individuals from vulnerable groups to possess lower than average educational qualifications or training means, all PLANET4B researchers were aware that it was particularly important to check whether participants needed any additional support to understand the purpose of the research, data management, and particulars of consent. 5.7 Incidental findings policy The term ‘incidental findings’ is used here to refer to sensitive findings which arise during the collection of research data, but which do not directly relate to the aims of the study. An incidental finding could include (for example) a disclosure about criminal activity. Due to the focus of the PLANET4B research and methods of data collection (primarily qualitative; non-medical), it was anticipated that incidental findings were unlikely to arise. Nevertheless, from the outset of the project a procedure was in place in the event of any occurrences (in accordance with the Coventry University ‘Reporting Disclosure Protocol and Guidance on Result Feedback’ protocol). Ultimately, no partners reported any such occurrences of incidental findings arising. 5.8 Securing consent/assent in the case of children and adults unable to give informed consent PLANET4B research was limited only to persons able to give informed consent or persons accompanied throughout by guardians with legal qualification to give consent on their behalf. 5.9 Research ‘in the field’ In accordance with the Grant Agreement, and the standard ethical research practice procedure of Coventry University, all researchers were required to abide by recognised procedures which were established and approved by the Steering Committee to help keep researchers and subjects safe in the field. As specified in the Horizon Europe Guidelines these included: • Keeping careful notes of all research engagements • Ensuring that a designated contact person within the host institution has full details of where the researcher is, as well as expected start and completion time. • Using mobile phones to keep in touch with the research base • Reporting any health and safety incidents. Risk assessment constituted an integral part of the ethics review process within PLANET4B. As employees, all researchers were fully insured (for working nationally and internationally) through their host partner institutions for all activities undertaken in accordance with their employment and research position (including all fieldwork activity). 14 5.10 Protection of Personal Data The research involved personal data collection and processing, including ‘special categories of personal data’ (formally known as ‘sensitive data’). The research also involved further processing of previously collected personal data (secondary use) (for further information on personal data processing, please see section on GDPR below). The term ‘data’ is used here to refer to all results from research activities – varying from interview recordings and transcripts, to individual logbooks with observations and protocols, to serious games, creative workshops and other forms of participatory visual and creative data construction, to secondary data already available in the public domain. Where personal data collection was required, in some instances it included characteristics of gender, income, education attainment, affiliation, personal values and opinions. In accordance with GDPR and national data protection law, where the collection of personal data was required, the PLANET4B consortium ensured that: 1. Personal data was processed fairly and lawfully 2. Personal data was obtained only for one or more specified and lawful purposes, and was not further processed in any manner incompatible with that purpose or those purposes 3. Personal data was adequate, relevant and not excessive in relation to the purpose or purposes for which they were processed 4. Personal data was accurate and, where necessary, kept up to date 5. Personal data processed for any purpose or purposes was not kept for longer than necessary for that purpose or those purposes 6. Personal data was processed in accordance with the rights of data subjects in accordance with national data protection law 7. Appropriate technical and organisational measures were taken against unauthorised or unlawful processing of personal data and against accidental loss or destruction of, or damage to, personal data 8. Personal data was not transferred to a country or territory outside the European Economic Area. 9. Data sharing with third parties was limited to anonymised processed data only, with no GDPR sensitive raw data shared. For the processing of ‘special categories of personal data’ (formally known as ‘sensitive data’) the following additional conditions also applied: 10. The data subject had given their explicit consent to the processing of the personal data 11. Use of the data was in the substantial public interest, necessary for research purposes and neither supports measures or decisions with respect to any particular individual, nor was likely to cause substantial damage or substantial distress to any person. 5.11 Confirmation of authorisation Where individual case studies involved the collection of personal data, prior authorisation was secured from the associated Ethics Review Committee or 15 institutional data protection officer of the partner institution at which the researcher was/is employed, and/or, where required, also from the national data protection authority. Authorisation was secured in accordance with the GDPR, and with national law. Copies of the authorisation are kept on file and will be submitted upon request to the REA. 5.12 Justification of personal data collection To be considered for approval any application for personal data collection was supported by full and detailed justification of the reason as to why collection and/or processing of personal was required. The justification was submitted to the associated ethics review committee or institutional data protection officer of the institution at which the researcher was employed, and where required, to the national data protection authority. Copies of the justification case are kept on file and will be submitted upon request to the REA. 5.13 Templates of informed consent and information sheet The informed consent forms and information sheet are kept on file and will be submitted upon request to the REA. Copies of both templates are included in Annex 2. 5.14 Publicly available data Where personal data was collected and used and such data is publicly available, the researcher was required to explicitly confirm that the data were already publicly available. 5.15 Data not publicly available Where personal data was collected and used and such data were not publicly available the researcher was required to secure relevant authorisation prior to its collection and use. Authorisation was to be secured in accordance with the GDPR on data protection, and with national law. Copies of the authorisation are kept on file and will be submitted upon request to the REA. 6 Third Countries 6.1 Conformity with Horizon 2020, European Union, national and international legislation Of the 11 individual case studies, six involved data collection in a country outside the European Union – referred to here as a ‘third country’: • For the case study ‘Opening nature and the outdoors to Black, Asian and ethnic minority communities’ the ‘third country’ is the UK. • For the case studies 'Enabling intersectional nature recreation and biodiversity stewardship for resilience’, and ‘Sustainable investment behaviour’ the ‘third country’ is Norway. • For the case study ‘Trade and Global Value Chains’, the ‘third country’ is Brazil. • For the case study of ‘Agriculture and Migration’, this involves research in the 16 ‘third countries’ of UK and Switzerland. For the case study 'Swiss attitudes towards agricultural biodiversity’ the ‘third country’ is Switzerland. Notably, in all cases, the institution staff directly involved in undertaking data collection in the associated case study (CU – UK; NINA – Norway; FIBL – Switzerland) all already had considerable existing personal experience and knowledge of undertaking data collection in compliance with both national and European Union regulatory and ethical protocols. 6.2 Authorisation for importing of research data to the European Union For the six case study projects involving data collection in a ‘Third Country’ (UK, Norway, Switzerland, Brazil), being aware and according with national and international agreement on data sharing, the following procedures was followed: For all case studies, where personal data needs to be transferred out of the Third Country and into the European Union, consent will first be obtained from the data subject and, where relevant in accordance with national legislation, authorisation from the relevant governing research body. The consortium partner research institution will keep on file, and submit upon request to the REA, such authorisation. In addition to gaining authorisation to export data, the consortium partner also committed to adhering to all aspects of the PLANET4B policy for the collection of personal data (see above). 7 Data Management and the GDPR As of May 2018, the General Data Protection Regulation came into effect, the main principles of which (Article 5 of the GDPR) were integrated to the PLANET4B DMP as follows. 7.1 Personal data must be processed fairly and transparently “Personal data shall be processed lawfully, fairly and in a transparent manner in relation to the data subject”. PLANET4B adheres to national and/or Coventry University strict policy on GDPR and Data Protection, which details how personal data collection should be consented, what forms and documents to use, what information is to be provided for the data subject and how the data will be secured and managed. The request also informs individuals of their rights to have data updated or removed, and the project’s policies on how these rights are managed. Only relevant data is stored, whereas unused and redundant data has been purged. Besides, personal data is anonymised or pseudonymised as much as possible (otherwise consented). The consortium has been fully transparent in the collection of personal data. When collecting data an information leaflet and consent form was used which included relevant information on data use, the data collection methods and processes, the purpose of the research and the way of dissemination as well as open access (see annex 2). The data subjects were informed about the possibility to withdraw their data, as well as their rights on requesting information on the types of data stored about them. 17 7.2 Personal data can only be collected for specified, explicit and legitimate purposes “Personal data shall be collected for specified, explicit and legitimate purposes and not further processed in a manner that is incompatible with those purposes”. PLANET4B researchers have not stored any (personal) data that is not within the scope of our project. 7.3 Personal data must be adequate, relevant and limited to what is necessary for processing “Personal data shall be adequate, relevant and limited to what is necessary in relation to the purposes for which they are processed”. Only data relevant to the project’s research was collected. Nevertheless, it occasionally occurred that during the data collection, additional personal information was shared that was not intended to be collected by the project. In such case, data was either purged, or if somehow relevant to the research, anonymised and after adequate consent further processed. 7.4 Personal data must be accurate and kept up to date “Personal data shall be accurate and, where necessary, kept up to date”. Wherever possible, all data collected has been reviewed and kept up-to-date. In cases where the datasets are difficult to keep up to date, anonymisation and relevant processing of data has been opted for. In addition, datasets have been processed as accurately as possible, with the use of indicating parameters that help with accurate data (e.g. marking the relevant year in datasets). 7.5 Personal data must be kept in a form such that the data subject can be identified only as long as it is necessary for processing “Personal data shall be kept in a form which permits identification of data subjects for no longer than is necessary for the purposes for which the personal data are processed”. All personal data that are no longer in use for specific research purpose will be purged as soon as they are not needed. Accordingly, also all personal data is being made anonymous once data has been processed, while it is ensured during anonymisation that no individual can be identified (otherwise consented). By the end of the project, the anonymised data sets will be made available via the Zenodo repository. Where data cannot be made anonymous, it has been pseudonymised as much as possible and stored according to project and institutional guidance archiving rules and data policy. 7.6 Personal data must be processed in a manner that ensures its security “Personal data shall be processed in a manner that ensures appropriate security of the personal data, including protection against unauthorised or unlawful processing and 18 against accidental loss, destruction or damage, using appropriate technical or organisational measures”. All personal data have been handled in accordance with relevant security protocols. Accordingly, personal data are only stored on a secure institutional server (e.g. Microsoft Teams hosted by Coventry University, or similar server by other host institutions) complying with GDPR and additional data protection, where access (via Multi Factor Authentication) is managed by the project manager and university IT expert and only provided to authorised personnel and the partners of the project. Access can be limited and withdrawn immediately if needed. Additional people do not have access to these data. At the Microsoft Teams site, the only personal data stored and shared, is that which a priori were consented by the data subject. Such data are forbidden to be downloaded or stored in a non-secure place. Personal data are only stored for project reporting purposes and will be deleted as soon as they become unnecessary. Personal data will not be otherwise shared apart from via the Microsoft Teams server. 7.7 The controller’s responsibility “The controller is responsible for, and must be able to demonstrate, compliance with the Data Protection Principles and for securing the same assurances from any 3rd parties” At project level, the project management and coordination team is responsible for the correct data management within the project, which is regularly checked. At each host institution, there has been one designated lead person responsible for data management and sharing, who is accountable for managing and securing personal data sets. Besides, all members of PLANET4B have liaised with relevant bodies of data management and ethical committees in terms of complying with the GDPR and additional data privacy and protection regulations. 25 especially those with responsibility for biodiversity, sustainable development, health and wellbeing, diversity and inclusion). 2. FAIR data 2.1. Making data findable, including provisions for metadata 2.1.1 Discoverability of data (metadata provision) The metadata consists of information that provides detailed insight into the Open Access (Zenodo) repository data. This includes type of data, date of collection, location (country and region) of collection, category of respondent, thematic focus, keywords, sampling process/number of respondents, data collection method. Metadata is downloadable from a dedicated page of the PLANET4B website (which will remain active for a minimum of 5 years after project completion). 2.1.2 Identifiability of data Where applicable, datasets have been assigned a DOI at the time of upload into Zenodo. 2.1.3 Naming conventions A systematic file naming convention has been developed, to ensure adequate organising and retrieving of documents, as well as managing records through their lifecycle. The file naming system is informed by the best practices identified by e.g. CESSDA. 2.2. Making data openly accessible 2.2.1 Data made openly available Data has been made openly accessible where it complies with GDPR requirements and with informed consent regarding any requirements for individual anonymity. Data – including interview transcripts, some audio and video recordings, and some discussion notes - have not be shared openly where full pseudonymisation is not possible without compromising essential contextual information (e.g. data on specific locations or respondents). The following material is available as open access data: • Learning Community Workshop Reports 01 – 05: https://zenodo.org/records/14946067 • Visual and text data: Engagement on UK Learning Community WhatsApp group, including demographic information and photographs: https://zenodo.org/records/17456971 • Visual data: Photographs PLANET4B two workshop Rwanda: https://zenodo.org/records/17456456 • Visual data: Photographs PLANET4B Walking Warriors: https://zenodo.org/records/17457478 26 2.2.2 Data availability Data has been uploaded to Zenodo, as part of a larger PLANET4B project community data collection. The repository is OpenAIRE compliant. 2.3. Making data interoperable 2.3.1 Data interoperability Interoperability is facilitated by providing metadata, with such metadata guided also by the Controlled Vocabularies proposed by the Data Documentation Initiative (DDI). Keywords have been created, including where applicable, using the European Language Social Science Thesaurus (ELSST). 2.4. Making data reusable 2.4.1 Data licencing A Creative Commons Attribution 4.0 International license is applied to all data made available in Zenodo. The license has been selected taking into consideration Intellectual Property Rights and additional legal and ethical requirements. 2.4.2 Date of data availability The data has been made available for public re-use during the final months (months 33-36) of the PLANET4B project. Restricting full public availability of data until then was necessary to enable completion of data collection, due processing of the data, to generate the necessary metadata and in accordance with the rights of research participants to withdraw from the study for a set period beyond their date of participation. 2.4.3 Reuse of data by third parties In compliance with Open Access, pseudonymised data (e.g. interview transcripts, etc) have been made available in support of potential re-use by third parties after the end of the project. Some restrictions may apply if IPR, GDPR or other rights demand such restriction. 2.4.4 Reuse of data by third parties Because of the (primarily) social science nature of the data there is no time limit for its re-usability. Even if social science data becomes ‘outdated’ it will continue to have potential value in perpetuity as historical data. 3. Data security 3.1 Secure storage, data recovery and transfer of sensitive data (a) Types of data stored (1) Data used in publications, including samples of (e.g.) interview questions, field notes, original tangible data (audio-recordings, photographs, digital media, case study workshop reports, interview transcripts, workshop notes, system mapping data), analysed data, coding steps, intermediate data sets, etc. (2) Any additional data specifically required by involved beneficiaries/partners/the European Commission, including records of procedures, etc. 27 (b) Secure storage of data Tangible data and paper records will be kept in lockable cabinets or offices with controlled access, when not under the direct supervision of a member of the research team. Access to electronic data and records is controlled by passwords and, where appropriate, access to individual files/databases is also password protected. Passwords are known only by authorised individuals. Access controls will regularly be reviewed and updated as individuals join, leave or change roles within the project. Computers and software will not be left logged in and unattended. Personal and sensitive data has been saved on a server with restricted physical and digital access. Access to the data is only possible by using personal login and password. Before using any storage media for electronic data and records, consideration has been given to appropriate security and back-up of the data. The use of cloud computing and software to store research records is restricted to institutionally approved, multifactor authentication password-controlled software which is accessible only by the directly associated institution project staff. Small media devices such as USB sticks have not been used as the primary storage location for personal data or confidential information and will be encrypted if used to transport respondent identifiable data. (c) Transfer of sensitive data All sensitive data is stored on a centralised in-house local partner institutional system, which is password-protected and accessible solely by relevant members of the associated institutional research team. Transfer of sensitive data is restricted between the two PLANET4B Partners directly associated with this case study only: CU and DC. 4. Ethical aspects An application for ethical approval was submitted by Prof. Alex Franklin on 08.06.23 to Coventry University. Ethical approval was granted on 17.06.23. Ethical approval project reference number: P160041. 28 DATA MANAGEMENT PLAN OF PLANET4B CASE STUDY: Agro-biodiversity management, Hungary (ESSRG) 1. Data summary 1.1 Purpose of data collection/generation There is a gender division of labour in the management of plants and animals in all societies. Many times, research programs connected to plant genetic resources (PGRs) focus on crop production and usually on market-oriented crops. This way, the ‘reproductive’ side of farm households and gardening falls beyond the scope of research. In addition, home gardening and the collection of wild plants is usually not considered as a part of the management of PGRs. But the reproductive tasks on a farm, like seed saving, and the maintenance of heirloom varieties and landraces and experimenting with new varieties – or even species – can also be an integral part of small-scale and subsistence farming. In this case study, we examined the connection between gender and these reproductive tasks, especially seed saving and the management of agrobiodiversity. 1.2 Types and formats of data generated/collected Primary data in the form of semi-structured expert interviews; secondary qualitative data based on the analysis of interviews (which may include primary data in the form of citations); secondary, desk-based policy analysis; secondary, review of the extant literature. 1.3 Data utility: to whom will it be useful Researchers; policy decision makers with a remit for agriculture, climate change and/or environment. 2. FAIR data 2.1. Making data findable, including provisions for metadata 2.1.1 Discoverability of data (metadata provision) The metadata consists of information that provides detailed insight into the archived data. This includes type of data, date of collection, location (country and region) of collection, category of respondent, thematic focus, keywords, sampling process/number of respondents, data collection method. Metadata is downloadable from a dedicated page of the PLANET4B (which will remain active for a minimum of 5 years after project completion). 2.1.2 Identifiability of data Where applicable, datasets have been assigned a DOI at the time of upload in to the Zenodo repository. 2.1.3 Naming conventions 29 A systematic file naming convention has been developed, to ensure adequate organising and retrieving of documents, as well as managing records through their lifecycle. The file naming system is informed by the best practices identified by e.g. CESSDA. 2.2. Making data openly accessible 2.2.1 Data made openly available Audio files and transcripts from interviews and group discussions have not been shared as full pseudonymisation was not possible without losing essential content (i.e. specific contextual data for the location and/or respondent). Personal and sensitive data as well as data that cannot be anonymised sufficiently to be in compliance with GDPR has also not be made available. The following material is available as open access data: • Art dataset: https://doi.org/10.5281/zenodo.17371000 • Business: seed company dataset: https://doi.org/10.5281/zenodo.17371216 • Business: breeder dataset: https://doi.org/10.5281/zenodo.17371059 • Farmer dataset: https://doi.org/10.5281/zenodo.17370570 • Public admin. dataset: https://doi.org/10.5281/zenodo.17371152 • Research dataset: https://doi.org/10.5281/zenodo.17370848 2.2.2 Data availability Data has been uploaded to ZENODO, as part of a larger PLANET4B project data collection. The repository is OpenAIRE compliant. 2.3. Making data interoperable 2.3.1 Data interoperability Interoperability is facilitated by providing metadata, with such metadata guided also by Controlled Vocabularies proposed by the Data Documentation Initiative (DDI). Keywords have been created, including where applicable, using the European Language Social Science Thesaurus (ELSST). 2.4. Making data reusable 2.4.1 Data licencing A Creative Commons Attribution 4.0 International license is applied to all data made available in Zenodo. The license has been carefully selected, taking into consideration Intellectual Property Rights and additional legal and ethical requirements. 2.4.2 Date of data availability The data has been made available for public re-use during the final months (months 33-36) of the PLANET4B project. Restricting full public availability of data until then is necessary to enable completion of data collection, due processing of the data, to generate the necessary metadata and in accordance with the rights of research 30 participants to withdraw from the study for a set period beyond their date of participation. 2.4.3 Reuse of data by third parties In compliance with Open Access, pseudonymised data (e.g. interview transcripts, etc.) will be made available in support of potential re-use by third parties after the end of the project. Some restrictions may apply if IPR, GDPR or other rights demand such restriction. 2.4.4 Reuse of data by third parties Because of the (primarily) social science nature of the data there is no time limit for its re-usability. Even if social science data becomes ‘outdated’ it will continue to have potential value in perpetuity as historical data. 3. Data security 3.1 Secure storage, data recovery and transfer of sensitive data (a) Types of data stored (1) Data used in publications, including samples of (e.g.) questionnaires, interview questions, field notes, original tangible data (audio-recordings, photographs, etc.), analysed data, coding steps, intermediate data sets, etc. (2) Any additional data specifically required by involved beneficiaries/partners/the European Commission, including records of procedures, etc. (b) Secure storage of data Tangible data and paper records will be kept in lockable cabinets or offices with controlled access, when not under the direct supervision of a member of the research team. Access to electronic data and records is controlled by passwords and, where appropriate, access to individual files/databases is also password protected. Passwords are known only by authorised individuals. Access controls will regularly be reviewed and updated as individuals join, leave or change roles within the project. Computers and software will not be left logged in and unattended. Personal and sensitive data has been saved on a server with restricted physical and digital access. Access to the data is only possible by using personal login and password. Before using any storage media for electronic data and records, consideration has been given to appropriate security and back-up of the data. Small media devices such as USB sticks have not been used as the primary storage location for personal data or confidential information and will be encrypted if used to transport respondent identifiable data. (c) Transfer of sensitive data No transfer of sensitive data occurred. 4. Ethical aspects 31 An ethical approval* was received from Coventry University before data collection started, under project reference number P161616. [*non-legally binding due to ESSRG being an organisation external to Coventry University, but in accordance with Grant Agreement Description of Action, providing formal confirmation that the proposed research adheres to the ethical standards stated meet those of Coventry University]. 32 DATA MANAGEMENT PLAN OF PLANET4B CASE STUDY: Environmental awareness in education, Hungary (ESSRG) 1. Data summary 1.1 Purpose of data collection/generation Through this case study ESSRG has mapped the institutional landscape and analysed why there is a (lack of) emphasis on the environmental crisis in schools, and how far different educational programmes embedded into the school curricula (i.e., school gardens and individual scientific subjects) can support awareness raising and facilitate a stronger connectedness to nature. Currently, the situation of the public education system and sustainability in Hungary precarious. These areas are not a national priority, especially under the current government. However, there are several best practices for more biodiversity-inclusive education by NGOs and specific schools. Therefore, the main question for this case study is: Can biodiversity education influence a transformative change? Through this case study we have explored the potential of experiential learning methods – school garden, participatory theatre, game experiment – and measuring their impact on environmental relatedness. 1.2 Types and formats of data generated/collected The following methods have been used: • Desk research and literature review with a focus on relevant policies and best practices; • Key informant interviews (semi-structured) with teachers and environmental education experts (16 interviews carried out); • Deliberative methods applied in 3 selected schools as intervention methods, including: participant observation, photovoice, participatory theatre play (applied in 3 schools); • Debriefing – students who participated in the intervention methods were engaged in a short debriefing discussion one-two weeks after the intervention. We used visual cards (mood cards) to help them reflect on their experiences. We observed the discussion and took notes without linking the data to specific individuals. • Quantitative survey using the Nature Relatedness Scale to assess the impacts of interventions (before and after the interventions, plus with control groups in each of the 3 partner schools) 1.3 Data utility: to whom will it be useful • Participating students have learnt about biodiversity and had the chance to improve their relatedness to nature. • Participating teachers have learnt new approaches and experiential learning tools to teach biodiversity. 33 • Environmental education experts (incl. NGOs and other network organisations) have received research results on the measurable impacts of school gardens and other experiential learning approaches, as well as the methodological lessons learnt on how impacts at individual and community (school) level can be measured. • The data can further inform education policyand decisionmakers (especially regarding how transformation at school and wider level is possible). 2. FAIR data 2.1. Making data findable, including provisions for metadata 2.1.1 Discoverability of data (metadata provision) The metadata consists of information that provides detailed insight into the archived data. This will include type of data, date of collection, location (country and region) of collection, category of respondent, thematic focus, keywords, sampling process/number of respondents, data collection method. Metadata is downloadable from a dedicated page of the PLANET4B (which will remain active for a minimum of 5 years after project completion). 2.1.2 Identifiability of data Where applicable, datasets have been assigned a DOI at the time of upload into the designated institutional repository, national archive or other open science compliant repository. 2.1.3 Naming conventions A systematic file naming convention have been developed, to ensure adequate organising and retrieving of documents, as well as managing records through their lifecycle. The file naming system have built on the best practices identified by e.g. CESSDA. A systematic and clear directory structure have been developed. 2.2. Making data openly accessible 2.2.1 Data made openly available Audio files and transcripts from interviews and group discussions are not shared via open access as a full pseudonymisation would not be possible without losing essential content (i.e. specific contextual data for the location and/or respondent). Only protocols, which can be fully pseudonymised are made available. In the case of all other data, personal and sensitive data as well as data that cannot be anonymised sufficiently to be in compliance with GDPR are also not be made available. In accordance with this, the following data have been uploaded to Zenodo: • Summary results of the policy analysis: https://doi.org/10.5281/zenodo.17477365 • Interview guidelines for experts and teachers: o Interview protocol for teachers: https://doi.org/10.5281/zenodo.17477389 o Interview protocol for environmental education experts: https://doi.org/10.5281/zenodo.17477429 34 o Debriefing protocol: https://doi.org/10.5281/zenodo.15691699 • Photos and anonymised quotes from the photovoice study from 3 partner schools: o Budapest: https://doi.org/10.5281/zenodo.17477235 o Mátészalka: https://doi.org/10.5281/zenodo.17477285 o Szentendre: https://doi.org/10.5281/zenodo.17477299 • Observation notes from the participatory theatre play, the debriefing sessions, and the participatory observation events from 3 partner schools: o Budapest: https://doi.org/10.5281/zenodo.17477223 o Mátészalka: https://doi.org/10.5281/zenodo.17477160 o Szentendre: https://doi.org/10.5281/zenodo.17477336 • Anonymised excel database containing the results of the nature relatedness survey from 3 partner schools: https://doi.org/10.5281/zenodo.17477186 • Summary report of the validation workshop: https://doi.org/10.5281/zenodo.17477096 2.2.2 Data availability Data has been uploaded to ZENODO, as part of a larger PLANET4B project data collection. The repository is OpenAIRE compliant. 2.3. Making data interoperable 2.3.1 Data interoperability Interoperability have been facilitated by providing metadata, including based on the Controlled Vocabularies proposed by the Data Documentation Initiative (DDI). Keywords were created, including where applicable, using the European Language Social Science Thesaurus (ELSST). Keywords were created, including where applicable, using the European Language Social Science Thesaurus (ELSST). 2.4. Making data reusable 2.4.1 Data licencing A Creative Commons Attribution 4.0 International license is applied to all data made available in Zenodo. The license has been selected, taking into consideration Intellectual Property Rights and additional legal and ethical requirements. 2.4.2 Date of data availability The data have been made available for public re-use during the final months (months 33-36) of the PLANET4B project. Restricting full public availability of data until then was necessary to enable completion of data collection, due processing of the data, to generate the necessary metadata and in accordance with the rights of research participants to withdraw from the study for a set period beyond their date of participation. 2.4.3 Reuse of data by third parties In compliance with Open Access, pseudonymised data (e.g. interview transcripts, etc) have been made available in support of potential re-use by third parties after the end of the project. Some restrictions may apply if IPR, GDPR or other rights demand such restriction. 41 2.4.3 Reuse of data by third parties In compliance with Open Access, pseudonymised data (e.g. interview transcripts, etc) would have been made available in support of potential re-use by third parties after the end of the project. Some restrictions may apply if IPR, GDPR or other rights demand such restriction. Since this data cannot be anonymised sufficiently to be in compliance with GDPR, it has not been made available. 2.4.4 Reuse of data by third parties Because of the (primarily) social science nature of the data there is no time limit for its re-usability. Even if social science data becomes ‘outdated’ it will continue to have potential value in perpetuity as historical data. 3. Data security 3.1 Secure storage, data recovery and transfer of sensitive data (a) Types of data stored (1) Data used in publications, including samples of (e.g.) questionnaires, interview questions and responses, field notes, original tangible data like photographs, analysed data, coding steps. (b) Secure storage of data Tangible data and paper records have been kept in lockable cabinets or offices with controlled access, when not under the direct supervision of a member of the research team. Access to electronic data and records have been controlled by passwords and, where appropriate, access to individual files/databases were also password protected. Passwords were known only by authorised individuals. Access controls were regularly be reviewed and updated as individuals join, leave or change roles within the project. Computers and software have not been left logged in and unattended. Personal and sensitive data was be saved on a server with restricted physical and digital access. Access to the data was only possible by using personal login and password. Before using any storage media for electronic data and records, consideration was given to appropriate security and back-up of the data. The use of cloud computing and software as a service provider to store research records were not used as it could carry significant governance and management risks. Small media devices such as USB sticks were not used as the primary storage location for personal data or confidential information and would be encrypted if used to transport respondent identifiable data. (c) Transfer of sensitive data All data published have been anonymised with sensitive identifiable information removed from the published data. Survey data would be collated and presented collectively. In the event that participant’s narratives have been used or exact words have been used, all identifiable information was removed or pseudonymised to retain meaning of statements. No sensitive data was therefore transferred. 42 4. Ethical aspects Ethical approval for the research within this case study was obtained on July 17th, 2023, prior to the start of the data collection. It was issued by the Ethics Committee of FiBL’s department of Food System Sciences under the number Planet4B-35243. 43 DATA MANAGEMENT PLAN OF PLANET4B CASE STUDY: Biodiverse Edible City Graz, Austria (IFZ/FUG) 1. Data summary 1.1 Purpose of data collection/generation The Graz-based case study explored how biodiversity and social justice aspects could be taken more into account in the planning and realisation of urban green spaces and the food provision strategy of the city of Graz. The research work tackled two levels, where relevant activities and decision-making processes take place: 1. One concerned the practices and formalities of setting up and implementing strategies in the City of Graz. Related data were collected within the “policy LC”, which comprises representatives from the municipality and various stakeholder groups. This LC was dedicated to governance issues around integrated policy and decision-making. The overall process started with individual (interviews) and joint (workshops) reflections on the status quo and actual practices. The next steps aimed to raise awareness for the relevance and potential benefits of trans-sectorial and participatory planning processes. In several interactive events and workshops, participants collaboratively explored how a Bio-/Diverse Edible City Graz (BESt Graz) could improve the current situation. It was explored which goals should be pursued through a corresponding strategy and which measures could be implemented to achieve them. Finally, recommendations were developed on how integrated processes, which consider more biodiversity and a socially just urban foodscape, can be fostered in future. 2. The second set of data was generated within the “citizen LC”, which engaged 15 women, who are affected by intersecting aspects of discrimination. This LC was guided through a process of setting up a community garden and the planning of a bigger green plot, which became an Edible Park and a lighthouse initiative for the BESt Graz by the end of the project. The implemented activities aimed at awareness raising, knowledge co-creation and capacity building, which helped LC members to reflect and make sense of establishing links between biodiversity, food and urban green spaces. Finally, the overall process aimed at empowering them to participate in the planning and implementation activities and to generate learnings about how to foster the engagement of less privileged citizens. 1.2 Types and formats of data generated/collected Desk research: • Review of literature (intersectionality; integrated policy approaches; good practice examples) • Review of relevant policy documents (national and local level) Policy LC: 44 • Personal data: names, affiliation, e-mail (storage in protected area on IFZ server; not disclosed to others beyond the IFZ-project team) • Pictures from various intervention activities (individual consent provided for each activity) • Data of ‘Future Walk’ and Kick-off event: protocol of content • Semi-structured interviews (27) with key stakeholders and municipality representatives on actual practices: neither audios nor transcripts will be made available, as we guaranteed interview partners anonymity. • BESt conceptualisation: protocols • System mapping: drawings and protocols • Validation of BESt measures and recommendations: protocols of individual assessments Citizen LC: • Personal data: names, affiliation, e-mail and/or phone numbers (storage in protected area on FUG server; not disclosed to others beyond the FUG project team) • Ex-post interviews with LC participants: personal data (names of interviewees coded): socio-demographic data (age, gender, religion, profession, education, family status, income, housing situation, care duties) • Intersectionality mapping: based on data from interviews with 7 LC participants. • Pictures from various intervention activities (individual consent provided for each activity) • Data from various intervention activities: o Audio files (collected during research interventions) & transcripts o Notes from participatory observations o Facilitators’ reflection protocols o Community mapping: drawings, maps, protocol o Food stories: audio file o Science education workshops: debriefing notes • Systematisation of experiences:4 Workshops o Pictures o Audio files & transcripts o protocols o SoE Report 1.3 Data utility: to whom will it be useful As the Graz-based case represents a Living Lab, which also needs to grant ‘safe spaces’ for sensible information, reflection and interaction, neither personal data nor audio files and transcripts will be made openly accessible. Other data as listed above, which do not contain sensitive information, have been made available via ZENODO. They may be of interest to a range of target groups, which are dealing with topics/issues around biodiversity, urban planning & green spaces, social justice, gender and intersectionality, participatory governance, urban food strategies, and health and wellbeing. This applies to researchers, students, people from policy and administration, NGOs/CSOs, educational institutions and community centres. 45 Beyond the data listed above, we will also make information and protocols concerning the design of the intervention activities available. This might be of specific interest for peers, who plan and practically implement similar intervention activities. 2. FAIR data 2.1. Making data findable, including provisions for metadata 2.1.1 Discoverability of data (metadata provision) The metadata consists of information that provides detailed insight into the archived data. This includes type of data, date of collection, location (country and region) of collection, category of respondent, thematic focus, keywords, sampling process/number of respondents, data collection method. Metadata are also downloadable from a dedicated page of the PLANET4B (which will remain active for a minimum of 5 years after project completion). 2.1.2 Identifiability of data Where applicable, datasets have assigned a DOI at the time of upload into ZENODO. 2.1.3 Naming conventions A systematic file naming convention was developed, to ensure adequate organising and retrieving of documents, as well as managing records through their lifecycle. The file naming system was built on the best practices identified by e.g. CESSDA. A systematic and clear directory structure was developed. 2.2. Making data openly accessible 2.2.1 Data made openly available Personal and sensitive data related to the research participants have been kept closed, in compliance with the GDPR. Audio files and transcripts from interviews and group discussions have not been shared via open access as a full pseudonymisation would not be possible without losing essential content (specific context within a specific city). Only protocols, which could be fully pseudonymised have been made available. The following material is available as open access data: • GAIA Gartenberg related data: o Interview guide: https://zenodo.org/records/17427007 o Research interventions: https://zenodo.org/records/17427258 • BESt Graz related data: o Policy analysis; https://zenodo.org/records/17458354 • System Mapping Report: https://zenodo.org/records/17425501 • Systematisation of Experiences: https://zenodo.org/records/17370985 2.2.2 Data availability Data were uploaded to ZENODO, as part of a larger PLANET4B project data collection. The repository is OpenAIRE compliant. 46 2.3. Making data interoperable 2.3.1 Data interoperability Interoperability was facilitated by providing metadata, including based on the Controlled Vocabularies proposed by the Data Documentation Initiative (DDI). Keywords were created, including where applicable, using the European Language Social Science Thesaurus (ELSST). 2.4. Making data reusable 2.4.1 Data licencing A Creative Commons Attribution 4.0 International license is applied to all data made available in Zenodo. The license has been selected, taking into consideration Intellectual Property Rights and additional legal and ethical requirements. 2.4.2 Date of data availability The data were made available for public re-use during the final months (months 3336) of the PLANET4B project. Restricting full public availability of data until then was necessary to enable the completion of data collection, due processing of the data, to generate the necessary metadata and in accordance with the rights of research participants to withdraw from the study for a set period beyond their date of participation. 2.4.3 Reuse of data by third parties In compliance with Open Access, a range of data have been made available in support of potential re-use by third parties after the end of the project. Some restrictions may apply if IPR, GDPR or other rights demand such restriction. 2.4.4 Reuse of data by third parties Because of the (primarily) social science nature of the data there is no time limit for its re-usability. Even if social science data becomes ‘outdated’ it will continue to have potential value in perpetuity as historical data. 3. Data security 3.1 Secure storage, data recovery and transfer of sensitive data (a) Types of data stored (1) Contact information (name & e-mail address & telephone numbers), (2) signed informed consents, (3) various types of primary data (see 1.2), such as audio records, transcripts, photographs, notes, etc. (4) analysed data, coding steps, intermediate data sets (b) Confirming secure storage of data Paper records, such as signed consent forms and Lists of Participants are kept in a lockable cabinet at the IFZ office (Schlögelgasse 2, 8010 Graz) with controlled access: the keys are with the institute’s secretary (Franziska Häller) and the head of the institute (Jürgen Suschek-Berger). 47 All electronic data and records are stored on the password-protected IFZ server (personal login and password). Access to PLANET4B-related folders is only granted to project team members. Access is updated as individuals join, leave or change roles within the project. Computers and software are not left logged in and unattended. The transcription of audio files is done by an IFZ team member, who signed a confidentiality agreement. Personal data for the citizen LC are stored in encrypted containers on the passwordprotected server of FUG, and can only be accessed by the management board and the two team members who facilitate the citizen LC. Before using any storage media for electronic data and records, consideration was given to appropriate security and back-up of the data. Cloud computing and software as a service provider to store research records are not used as they can carry significant governance and management risks. Small media devices such as USB sticks are not used as the primary storage location for personal data or confidential information. Miro whiteboard was used for workshop documentations and for structuring data to be analysed, but this kind of documentation never contained sensitive data. (c) Transfer of sensitive data Sensitive data embrace personal contact information (name, affiliation, e-mail; some phone numbers), which are all stored in safe password-protected folders only accessible for project team members, and only used for the PLANET4B project. Hard copies containing sensitive information (informed consent sheets, signed participants lists) are stored in a locked cabinet at the IFZ office. Audio files on recording facilities are deleted immediately after their transfer to the IFZ server. The sociodemographic data of the citizen LC are fully anonymised and stored in password-protected folders on the IFZ server, while the personal data of this LC is on the password-protected server of FUG (no access for IFZ-team members!). Personal data of all participants, who engaged in any of the other activities beyond the GAIA garden, are stored on the password-protected IFZ server in a separate project folder, only accessible to PLANET4B team members. Sensitive information about policy practices gained through interviews is only accessible to the team members analysing the content through personal login and password. 4. Ethical aspects The ethical approval for undertaking the research was secured prior to the commencement of data collection by the data protection coordinator and the ethics board of IFZ. 5. Other As already addressed above, the research design of our Living Lab settings required the creation of safe spaces, where participants could openly speak and critically reflect. Therefore, all informed consent implied the concession that neither the audio files nor the transcripts would be shared with third parties beyond those team members, who 48 implement and analyse the collected data. This also implied a pseudonymisation of participants’ affiliation and function. This was particularly relevant for municipality members. Informed consent was collected for every activity separately: either by means of individual informed consent agreements or by explicitly confirming consent when signing up on the List of Participants. Information the consent was based on, was always given in both ways through a written info sheet and orally before the activity/event started. 49 DATA MANAGEMENT PLAN OF PLANET4B CASE STUDY: Nature Recreation, Oslo, Norway (NINA/OOF) 1. Data summary 1.1 Purpose of data collection/generation The Norwegian intensive case study targeted better access to outdoor recreation and nature experiences for youth with disabilities. The case study investigated how environments could be made more inclusive (social or physical), while also highlighting the value of biodiversity for groups that are often underrepresented in nature planning, conservation, and management. Experiences from disabled persons, parents, and organisations working at the intersection between nature recreation and inclusion were collected and analysed. The case comprised a participant observation study, with the direct involvement with children with disabilities who participated in inorganised activities, as well as parents, siblings and leaders at the camps and/or evening events. The goal was to identify paths for more inclusive outdoor recreation activities that highlighted the importance and contributed to the conservation of biodiversity. 1.2 Types and formats of data generated/collected This case study and related interventions was planned in four stages: • 1st stage: Survey with parents of children with disabilities' use of biodiversity and natural/outdoors areas (completed). The questions about disability were integrated into a broader, nationwide NINA-survey on children’s outdoor activities and use of nature in general. The survey was conducted under another NINA-project, and was in compliance with GDPR and the Norwegian data protection law. • 2nd stage: Learning about challenges/possibilities for interventions: Mapping of organisations involved. Establishment of a learning community in collaboration with the Greater Oslo Council for Outdoor Recreation, consisting of youth with disabilities that are part of a mentoring program, parents of youth with disabilities, and representatives from outdoor recreation organisations (completed - ethical approval and informed consent obtained). Qualitative interviews with representatives from outdoor recreation organisations (completed – ethical approval and informed consent obtained). • 3rd stage: Participatory observations in already existent activities (completed). Activities: observe outdoor recreation activities involving youth with disabilities. No registration or collection of personal data. According to Norwegian law, ethical approval and informed consent was therefore not required. Informed consent was nevertheless obtained in a format suitable for the target group. • 4th stage: Research-based discussions, synthesising facts/case outcomes (ongoing). 1.3 Data utility: to whom will it be useful The data is useful to youth with disabilities, their families, researchers, planners, outdoor recreation organisations, and policy makers. It identifies key barriers and 50 facilitators to improving access to nature experiences for disabled youth. Highlighting these factors emphasizes the importance of conserving nature and biodiversity for the social inclusion of disadvantaged groups. 2. FAIR data 2.1. Making data findable, including provisions for metadata 2.1.1 Discoverability of data (metadata provision) The metadata consists of information that provides detailed insight into the Open Access (ZENODO) repository data. It includes type of data, date of collection, location (country and region) of collection, category of respondent, thematic focus, keywords, sampling process, data collection method. Metadata is downloadable from a dedicated page of the PLANET4B (which will remain active for a minimum of 5 years after project completion). 2.1.2 Identifiability of data Where applicable, datasets have been assigned a DOI at the time of upload into ZENODO. 2.1.3 Naming conventions A systematic file naming convention has been developed, to ensure adequate organising and retrieving of documents, as well as managing records through their lifecycle. The file naming system is informed by the best practices identified by e.g. CESSDA. 2.2. Making data openly accessible 2.2.1 Data made openly available Audio files and transcripts from interviews and group discussions are not shared via open access as a full pseudonymisation would not be possible without losing essential content (i.e. specific contextual data for the location and/or respondent). Only protocols that could be fully pseudonymised are available. In the case of all other data, personal and sensitive data as well as data that could not be anonymised sufficiently to be in compliance with GDPR are not available. The following material is available as open access data: • Survey questionnaire: https://zenodo.org/records/17314146 • Interview guide and information letter to informants for Oslo outdoor recreation interview study: https://doi.org/10.5281/zenodo.17350345 • Fieldwork Prep Materials: Preparation Notes, Participant Info & Consent for the case studies: https://doi.org/10.5281/zenodo.17350068 • Survey results raw data: https://doi.org/10.5281/zenodo.17358885 2.2.2 Data availability Data has been uploaded to ZENODO, as part of a larger PLANET4B project data collection. The repository is OpenAIRE compliant. 57 DATA MANAGEMENT PLAN OF PLANET4B CASE STUDY: Trade and global value chains (soya/beef), Brazil, Netherlands/EU (RU) 1. Data summary 1.1 Purpose of data collection/generation This case investigated the consequences of new public EU regulations on sustainable supply chains. In particular, the case focused on the EU Regulation on Deforestationfree Products (EUDR). Other policies, such as the Corporate Sustainability Due Diligence Directive (CSDDD) and the EU Common Agricultural Policy (CAP)were discussed in the analysis, but mostly as contextualisation of the different types of policies of relevance for the case. The case analysed how the EUDR impacts sociobiodiversity loss linked to international commodity trade of soy and beef between Brazil and Europe and, more specifically, the Netherlands. In line with this, the case had two learning objectives: • Firstly, to understand the potential and limitations of the EUDR (European Union Deforestation Regulation) to curb deforestation and biodiversity loss in Brazil and the Netherlands, as well as the interplay between EU policies and relevant national policies in Brazil and the Netherlands. • Secondly, to identify and analyse distinct socio-biodiversity challenges and risks (for biodiversity and people, considering intersectionality) connected to the soy and the beef supply chains in Brazil, focusing on the Amazon biomes (supply side) and in the Netherlands (demand side). Data collection was implemented through a) literature review of relevant scientific references and gray literature (policy reports, NGO reports, companies' sustainability reports); b) semi-structured interviews; c) fieldwork in the Santarém region, Brazilian Amazon. 1.2 Types and formats of data generated/collected Primary data: primary datasets include 1) a file (.xlsx) containing the coding of 29 semistructured interviews; 2) relevant reports, notes and analyses produced during case study development (.docx and .pdf); 3) a policy gap analysis and potential policy recommendations (.pptx). Original materials such as the records of meetings and interviews, and the audiovisual materials collected during the fieldwork in the Amazon are kept private in the repository of the project but are not released Open Access to stay compliant with the GDPR. 1.3 Data utility The main beneficiaries from the datasets generated will be researchers, NGOs and policy analysts working with topics associated with the thematic focus of this case study. Importantly, the EUDR (which entered in effect on June 2023) is a rather new policy. So, this database is an important contribution to the field, useful both to researchers and practice-oriented professionals. 58 2. FAIR data 2.1. Making data findable, including provisions for metadata 2.1.1 Discoverability of data (metadata provision) The metadata consist of information that provides detailed insight into the archived data. This includes type of data, date of collection, location (country and region) of collection, category of respondent, thematic focus, keywords, sampling process/number of respondents, data collection method. Metadata is downloadable from a dedicated page of the PLANET4B (which will remain active for a minimum of 5 years after project completion). 2.1.2 Identifiability of data Where applicable, datasets will be assigned a DOI at the time of upload into the designated institutional repository, national archive or other open science compliant repository. 2.1.3 Naming conventions A systematic file naming convention will be developed, to ensure adequate organising and retrieving of documents, as well as managing records through their lifecycle. The file naming system will build on the best practices identified by e.g. CESSDA. A systematic and clear directory structure will also be developed. 2.2. Making data openly accessible 2.2.1 Data made openly available Audio files and transcripts from interviews and group discussions will not be shared via open access as a full pseudonymisation would not be possible without losing essential content (i.e. specific contextual data for the location and/or respondent). In the case of all other data, personal and sensitive data as well as data that cannot be anonymised sufficiently to be in compliance with GDPR will also not be made available. Primary data Uploaded to ZENODO (Open Access): • Coding of 29 interviews of PLANET4B Case Trade & GVCs (anonymised and clean file) https://zenodo.org/records/17359605 • Relevant reports and analyses produced during case study development (Case Trade & GVCs) https://doi.org/10.5281/zenodo.17358662 • Policy Gap Analysis and Policy Recommendations (Case Trade & GVCs) https://doi.org/10.5281/zenodo.17359511 Primary data that was not released Open Access (i.e., not uploaded to Zenodo), and justification why: • Dataset “Empirics”, with three folders: a) one for materials collected in the Netherlands (e.g. pictures, notes of meetings with key informants, and others), b) one for materials collected during fieldwork in the Brazilian Amazon (e.g. pictures, fieldnotes), and c) all data from interviews (recordings, transcripts, 59 notes taken during interviews). This dataset was not made public because a full pseudonymisation would not be possible without losing essential content. • Dataset “Intersectionality”, which includes transcripts from our meetings to discuss and reflect upon the intersectionality aspects of the case. This dataset was not made public because a full pseudonymisation would not be possible without losing essential content. • Dataset “Stakeholder Board”, which includes recordings, transcripts, presentations, pictures, attendance lists, and notes of all the meetings between the case study researchers and the Stakeholder Board members of the case Trade & GVCs. Also, this dataset was not made public because a full pseudonymisation would not be possible without losing essential content. • Dataset “PPTs Trade & GVCs”, which includes all the presentations that were built during the case study development, to present the findings in the different stages of the analysis. This dataset contains data that are fundamental for our on-going efforts to publish outcomes from this case study in scientific journals, therefore, releasing these files Open Access could undermine the component of originality of our analyses. • Dataset “Story of Change”, which includes pictures, presentations, notes, and manuscripts (e.g. policy briefs in stage of development) which are also a result of meetings and discussions with the participation of third-party individuals (e.g. members of our Stakeholder Board, participants in different workshops who opted to remain anonymous, pictures taken during workshops, etc.), for which full pseudonymisation would not be possible without losing essential content. • Dataset “Ethics Approval”, which contains all the e-mails exchanges, letters, and final document of ethics approval for the case study, featuring the Ethics Assessment Committee of the Faculty of Law and the Nijmegen School of Management (EACLM) of Radboud University, Nijmegen. This is sensitive data which cannot be fully anonymised without losing essential content. Secondary data: this dataset contains NGO reports, Government reports, policy briefs, and other types of research of policy documents used as secondary data in the exploratory and literature review stages of the case study development (e.g. companies’ sustainability reports, policy briefs, NGO reports, etc.). The format of such documents is .pdf. Secondary data Uploaded to ZENODO (Open Access) • Grey Literature NGOs and policy reports (Case Trade & GVCs) https://zenodo.org/records/17359223 Secondary data that was not released Open Access (i.e., not uploaded to Zenodo), and justification why: • Dataset “Literature on Trade & GVCs”, which includes a vast collection of articles, books, and secondary materials of relevance for the stages of literature review of the case study. This data was not made public because it includes materials that are copyright protected, especially literary works (books, articles). • Dataset “Literature on theories of change,” which includes a vast collection of books and articles on different social science theories that were used in the 60 exploratory stage of the case study, in order to select which conceptual/theoretical literature we would engage with. This data was not made public because it includes materials that are copyright protected, especially literary works (books, articles). 2.2.2 Data availability Data compliant with GDPR for being released Open Access was uploaded to ZENODO, as part of a larger PLANET4B project data collection. The repository is OpenAIRE compliant. 2.3. Making data interoperable 2.3.1 Data interoperability Interoperability will be facilitated by providing metadata, including based on the Controlled Vocabularies proposed by the Data Documentation Initiative (DDI). Keywords will be created, including where applicable, using the European Language Social Science Thesaurus (ELSST). 2.4. Making data reusable 2.4.1 Data licencing A Creative Commons Attribution 4.0 International license is applied to all data made available in Zenodo. The license has been selected, taking into consideration Intellectual Property Rights and additional legal and ethical requirements. 2.4.2 Date of data availability The data will be made available for public re-use during the final months (months 3336) of the PLANET4B project. Restricting full public availability of data until then is necessary in order to enable completion of data collection, due processing of the data, to generate the necessary metadata and in accordance with the rights of research participants to withdraw from the study for a set period beyond their date of participation. 2.4.3 Reuse of data by third parties In compliance with Open Access, pseudonymised data (e.g. interview transcripts, etc) was not made available. 2.4.4 Reuse of data by third parties Because of the (primarily) social science nature of the data there is no time limit for its re-usability. Even if social science data becomes ‘outdated’ it will continue to have potential value in perpetuity as historical data. 3. Data security 3.1 Secure storage, data recovery and transfer of sensitive data (a) Types of data stored 61 (1) Data used in publications, including samples of (e.g.) questionnaires, field notes, original tangible data (audio-recordings, photographs, etc), analysed data, coding steps, intermediate data sets, etc. (2) Any additional data specifically required by involved beneficiaries/partners/the European Commission, including records of procedures, etc. (b) Secure storage of data Tangible data and paper records will be kept in lockable cabinets or offices with controlled access, when not under the direct supervision of a member of the research team. Access to electronic data and records are controlled by passwords and, where appropriate, access to individual files/databases will also be password protected. Passwords are known only by authorised individuals. Access controls were regularly be reviewed and updated as individuals joined, left or changed roles within the project. Computers and software were not left logged in and unattended. Personal and sensitive is saved on a server with restricted physical and digital access. Access to the data is only possible by using personal login and password. Before using any storage media for electronic data and records, consideration was given to appropriate security and back-up of the data. The use of cloud computing and software as a service provider to store research records is restricted to institutionally approved, multi-factor authentication passwordcontrolled software which is accessible only by the directly associated institution project staff. Small media devices such as USB sticks will not be used as the primary storage location for personal data or confidential information and will be encrypted if used to transport respondent identifiable data. (c) Transfer of sensitive data Sensitive data procedures for sharing research data include keeping all data in the personal computers of the lead researcher (Dr. Vinícius Mendes), and in a cloud (One Drive), and only transferring documents to/from Brazil or other non-EU consortium partners in PLANET4B when strictly necessary. Additionally, every time a document is sent by e-mail to countries within and outside the EU, the VPN of the Radboud University is previously activated, to prevent data leaking and to mitigate the risk of third parties accessing such data. 4. Ethical aspects Ethics approval was secured on 4 August 2023, and it was issued by the Ethics Assessment Committee of the Faculty of Law and the Nijmegen School of Management (EACLM) of Radboud University, Nijmegen, Netherlands, and registered under EACLM number 2023.12. 62 DATA MANAGEMENT PLAN OF PLANET4B CASE STUDY: From ‘ego-system to eco-system’ in fashion, Italy (UNIPI) 1. Data summary 1.1 Purpose of data collection/generation This case study explored the connection between the Fashion Value Chain (FVC) and biodiversity loss and explores potential transformations of the sector to better prioritize biodiversity. The case supported social actors, companies and public institutions to discuss, learn and find transformative change as a means to integrate (prioritize) biodiversity protection within socio-economic activities, such as product redesign, and transformation of different eco-social relationships with the environment. The main aim has been to understand the role of biodiversity in changing the fashion industry. 1.2 Types and formats of data generated/collected Type of data generated and collected are the following: • Data from on-line and in-person interviews and transcriptions (standard format e.g. .m4a audio files, .docx). • Data from on-line and in-person scenario workshops, field visits, and other participatory activities, and transcriptions (e.g. m4a audio files, mp4 video files, docx format). • Data from company documents and websites (e.g. docx, .pdf). • Processed data, qualitative analysis projects, categorisation, and synthesis of results (.docx, .pdf, .qdpx). In-person activities took place in Italy, mainly in Tuscany and Piedmont. These types of data are qualitative and context-specific and, typically, cannot be reproduced, which makes the strategies applied for documentation of this type of data very important. Data was collected and registered using audio recording devices and video cameras and literally transcribed into text documents afterwards. Once the data was captured, all subsequent steps (coding, aggregation, processing, analysis) were reproducible and visible in the processed data files. 1.3 Data utility: to whom will it be useful The data could be useful for researchers (i.e. studying fashion, transformative change and/or biodiversity), private companies and stakeholders from the sector (i.e. to better design their biodiversity policies and be more aware about their impacts), policymakers (i.e. to improve policy design and evaluation), and Civil Society Organisations and Environmental NGOs (i.e. to inform advocacy actions). 2. FAIR data 2.1. Making data findable, including provisions for metadata 63 2.1.1 Discoverability of data (metadata provision) The metadata consists of information that provides detailed insight into the archived data. This includes type of data, date of collection, location (country and region) of collection, category of respondent, thematic focus, keywords, sampling process/number of respondents, data collection method. Metadata are downloadable from a dedicated page of the PLANET4B (which will remain active for a minimum of 5 years after project completion). 2.1.2 Identifiability of data Datasets were assigned a DOI at the time of upload into the designated open science compliant repository, i.e., Zenodo. 2.1.3 Naming conventions A systematic file naming convention has been followed to ensure adequate organising and retrieving of documents, as well as managing records through their lifecycle. The file naming system is informed by the best practices identified by e.g. CESSDA. 2.2. Making data openly accessible 2.2.1 Data made openly available Audio and video files from interviews and group discussions have not been shared via open access as a full pseudonymisation was not possible. This applies to all collected interviews, workshops, field visits, and focus groups. Transcripts of all the abovementioned audio and video files were made available after a full anonymisation without losing essential content (i.e. specific contextual data for the location and/or respondent). The processed data files are also fully anonymised. The following material is available as open access data: • PLANET4B Exploratory Interviews Dataset Pisa [UNIPI] 20250716 v2: https://doi.org/10.5281/zenodo.17356420 • PLANET4B Grey Literature Dataset Pisa [UNIPI] 20250716 v2: https://doi.org/10.5281/zenodo.17356634 • PLANET4B Frame Analysis Dataset Pisa [UNIPI] 20251013 v2: https://doi.org/10.5281/zenodo.17347915 • PLANET4B Business Models Dataset Pisa [UNIPI] 20251014 v1: https://doi.org/10.5281/zenodo.17360366 • PLANET4B Systemic Interventions Dataset Pisa [UNIPI] 20251014 v1: https://doi.org/10.5281/zenodo.17351738 2.2.2 Data availability All shareable data was uploaded to ZENODO, as part of a larger PLANET4B project community data collection. No other data will be uploaded to Zenodo. The repository is OpenAIRE compliant. The links to the uploaded datasets can be found below: 2.3. Making data interoperable 2.3.1 Data interoperability 64 Interoperability is facilitated by providing metadata, including based on the Controlled Vocabularies proposed by the Data Documentation Initiative (DDI). Keywords have been created, including where applicable, using the European Language Social Science Thesaurus (ELSST). 2.4. Making data reusable 2.4.1 Data licencing A Creative Commons Attribution 4.0 International license is applied to all data made available in Zenodo. The license has been selected, taking into consideration Intellectual Property Rights and additional legal and ethical requirements. 2.4.2 Date of data availability The data has been made available for public re-use during the final months (months 33-36) of the PLANET4B project. Restricting full public availability of data until then was necessary to enable completion of data collection, due processing of the data, to generate the necessary metadata and in accordance with the rights of research participants to withdraw from the study for a set period beyond their date of participation. 2.4.3 Reuse of data by third parties The context-specific nature of the data may limit its subsequent usability by third parties. However, in compliance with Open Access, pseudonymised data (e.g. interview transcripts) have been made available in support of potential re-use by third parties after the end of the project. Some restrictions may apply if IPR, GDPR or other rights demand such restriction. 2.4.4 Reuse of data by third parties Although the context-specific nature of data limits its usability by third parties, the data's primarily social science nature allows for its continued re-usability. Even if social science data becomes 'outdated', it will continue to have potential value in perpetuity as historical data. 3. Data security 3.1 Secure storage, data recovery and transfer of sensitive data (a) Types of data stored (1) the types of data stored are data from on-line and in-person expert interviews, data from on-line and in-person scenario workshops, focus groups and other participatory activities. They include transcription and notes, field notes, original tangible data (audio recording, photographs, video recording, etc.), analysed data, coding steps, intermediate data sets, etc. (2) Any additional data specifically required by involved beneficiaries/partners/the European Commission, including records of procedures, etc. (b) Secure storage of data Tangible data and paper records will be kept in lockable cabinets or offices with controlled access, when not under the direct supervision of a member of the research 65 team. Access to electronic data and records is controlled by passwords and, where appropriate, access to individual files/databases is password protected. Passwords are known only by authorised individuals. Access controls have been regularly reviewed and updated as individuals joined, leaved or changed roles within the project. Computers and software have not been left logged in and unattended. Personal and sensitive data have been saved on a server with restricted physical and digital access. Access to the data is only possible by using personal login and password. Before using any storage media for electronic data and records, consideration has been given to appropriate security and back-up of the data. The use of cloud computing and software as a service provider to store research records is restricted to institutionally approved, multifactor authentication password-controlled software which is accessible only by the directly associated institution project staff. Small media devices such as USB sticks have not been used as the primary storage location for personal data or confidential information. (c) Transfer of sensitive data There has not been any transfer of sensitive data. 4. Ethical aspects The ethical approval for undertaking the research was secured by the Bioethics committee at the University of Pisa (Parere 11/2024). 66 Annex 2 ETHICS: PLANET4B Informed Consent Template Forms Informed Consent Form for participating in the research: ‘understanding Plural values, intersectionality, Leverage points, Attitudes, Norms, behaviour and social lEarning in Transformation for Biodiversity decision making’ (PLANET4B) Name of researcher: [Insert name] Name of institution: [Insert name] Name of sponsor: European Union – Horizon Europe – Research and Innovation Programme: Grant Agreement No 101082212 This Informed Consent Form has two parts: • Part I: Information Sheet (to share information about the study with you) • Part II: Certificate of Consent (for signatures if you choose to take part) Part I: Information Sheet Introduction PLANET4B My name is [...] and I am currently conducting a research project on “[INSERT NAME OF CASE STUDY &/OR WP activity]”. This project has received funding from the European Union Horizon Europe Research and Innovation Programme: Grant Agreement No 101082212. This research does not reflect the opinions of the European Commission. Before you decide to take part, it is important you understand why the research is being conducted and what it will involve. Please take time to read the following information carefully. You may talk about this project to anybody you feel comfortable with, and please take some time to reflect on whether you would like to participate or not. If there’s anything you don’t understand in this information sheet, feel free to ask any questions at any time. 73 exclusively as detailed in the previous paragraphs. We are counting to hear from you back on the specific topics through our communication activity for a mutual growth. Duration of data process Your data will be processed for the whole duration of the mandatory maintenance of the project website and results or until the date when Data Subject withdraws its consent to data process. Data transfer Data Controller processes do not require any transfer of data to external third parties with the sole exception of auditing authorities of the public institutions that funded the project. Following the processes and treatments described above, your personal data can be communicated to the Data Controller’s staff. Furthermore, and in so far as necessary, Personal data shall be disclosed, in so far as they are concerned, to but not limited to the following categories: • Organisations that are part of the PLANET4B Consortium; • Persons in charge of managing the website and the related activities; • Persons who provide services for the management of the information system of the company; • Persons carrying out monitoring, auditing and certification activities linked to the project; The personal data you provide will not be sold to or shared with third parties. Rights of Data Subject EU GDPR legislation guarantees the right to access, rectify or erase your personal data and the right to restrict the processing of your personal data. Where applicable, you also have the right to object to the processing of your personal data and the right to data portability. To read more about the rights of data subjects and the rights and obligations of data controllers see here: General Data Protection Regulation (2018) You have consented to provide your personal data for the present processing operation. You can withdraw your consent at any time by notifying the Data Controller. The withdrawal will not affect the lawfulness of the processing carried out before you have withdrawn the consent. You can exercise your rights by contacting the Data Controller. Your requests will be handled within a maximum of 10 working days. Contact information: [email protected] Changes to Privacy Notice If necessary, we may amend or update this Privacy Statement to reflect changes on the website and feedback from our users. If there are material changes in the way we use or process your personal data, we will notify you by posting a notice of the changes before these come into effect or by sending a notification to you directly.