D7.2 Data Management Plan

The FoSSNet Data Management Plan provides an overview of the main aspects of data creation, re-use and management during and after the project lifetime, in accordance with GDPR regulations, FAIR principles, and ethical, legal and social aspects (ELSA). FoSSNet aims to build an inclusive inter- and transdisciplinary network for food systems science, develop a shared conceptual framework and research agenda, and co-create tools, curricula and science-policy interfaces that support sustainable food system transformations. To achieve these aims, the project generates and re-uses a broad range of data: conceptual and mapping work based on existing literature, policy and network information; empirical data from surveys, interviews, territorial labs and workshops; mapping and informatics-based analyses of research agendas and food systems education; and communication and dissemination information such as web analytics, event participation and stakeholder engagement records. Where these activities involve personal data, processing is minimised and supported by appropriate legal bases and safeguards, such as pseudonymisation, data minimisation and restricted access. The DMP sets out how these data and outputs will be made FAIR and managed. For findability and accessibility, it foresees the use of persistent identifiers, rich metadata, and the deposit of shareable data and code in trusted repositories, such as Zenodo and institutional repositories, with open metadata even where data cannot be shared. Openness is supported by the systematic use of open licences, primarily CC BY for data and publications, and CC0 or equivalent for metadata. For interoperability and re-usability, partners will use community standards and vocabularies where possible and provide sufficient documentation, including methods, codebooks, software requirements and provenance, to enable validation and re-use. The DMP is aligned with the FoSSNet Project Handbook and the Dissemination, Exploitation and Communication Plan, and will be reviewed at least annually and whenever major new datasets or tools are produced, so that the description of datasets, repositories, standards, responsibilities and safeguards remains accurate and up to date.