Published July 14, 2025 | Version v1
Preprint Restricted

From Principles to Practice: Enabling FAIRification from laboratories to Research Infrastructures

Creators

  • 1. ROR icon European Research Infrastructure on Highly Pathogenic Agents
  • 2. NRS UMR5602 Géographie de l'environnement (GEODE)
  • 3. EDMO icon National Research Institute For Agriculture, Food And Environment
  • 4. French Institute of Bioinformatics (IFB)
  • 5. EDMO icon French Agricultural Research Centre for International Development
  • 6. UMR AGAP Institut
  • 7. ROR icon Université de Montpellier
  • 8. UMR9198 Institut de Biologie Intégrative de la Cellule (I2BC)
  • 9. Université Claude Bernard Lyon 1
  • 10. EDMO icon French National Center for Scientific Research (head office)
  • 11. ROR icon Inserm
  • 12. Centre de Recherche en Neurosciences de Lyon CRNL
  • 13. U1028 UMR5292
  • 14. Universidad de Sevilla/AICIA
  • 15. Data Terra RI
  • 16. UAR CPST
  • 17. Odatis data cluster
  • 18. EDMO icon Ifremer Head Office
  • 19. ROR icon Laboratoire Innovation Communication et Marché
  • 20. ROR icon Université Sorbonne Nouvelle
  • 21. ROR icon Université de Strasbourg
  • 22. ROR icon Observatoire astronomique de Strasbourg
  • 23. UMR 7550
  • 24. Université Jean Moulin Lyon 3
  • 25. IES UMR5214
  • 26. Observatoire de Paris, Université de Recherche Paris Sciences et Lettres

Description

Preprint in Embargo until submission. Targetted journal: Patterns: Cell Press

This paper presents an analysis of 12 case studies showcasing the implementation of the FAIR principles (Findable, Accessible, Interoperable, Reusable) across diverse disciplinary contexts. It identifies key challenges such as the burden of metadata entry, inconsistent standards, repository sustainability, and difficulties in tracking data provenance, and proposes actionable recommendations tailored and targeted to the roles and responsibilities of key stakeholders, addressing e.g., data producers, data stewards, infrastructure providers, repository managers, and policymakers. The recommendations are designed to be actionable at three complementary levels: (1) by research teams and laboratories, (2) through institutional governance and support structures, and (3) via engagement with international ecosystems and initiatives developing tools for FAIR support and assessment. This paper highlights the importance of promoting wider use of existing FAIR tools, guidances and initiatives, tailoring practices to community needs, and using self-assessment tools not merely for compliance, but as mechanisms for continuous improvement. Ultimately, the authors encourage the development of tailored FAIR checklists and the use of European and international infrastructures to align FAIRification efforts, emphasising the role of FAIR in fostering efficient, transparent and reproducible science.

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