PRESENTATION.Sciences participatives & Gestion de données FAIR

This presentation explores the intersection of citizen science and FAIR data management (Findable, Accessible, Interoperable, Reusable). It highlights the challenges and best practices in handling participatory research data, emphasizing the need for structured metadata, ethical considerations, and open access. The presentation compares citizen science data with traditional research data, addressing quality control, legal constraints (such as GDPR), and data governance. Recommendations focus on ensuring data usability, participant engagement, and transparency while promoting FAIR principles to maximize research impact. Through case studies and guidelines, it provides insights into making citizen-generated data more reliable and beneficial for scientific communities.The presentation was prepared as part of a training day of the ASDOST-CitSci project.