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Published October 2, 2025 | Version v1
Preprint Open

Coopetition as a Model to Advance a FAIR Data Ecosystem

  • 1. Northwestern University Feinberg School of Medicine
  • 2. ROR icon University of California Office of the President
  • 3. ROR icon Northwestern University
  • 4. ROR icon Northwestern Medicine
  • 5. Northwestern University - Chicago
  • 6. ROR icon Figshare (United Kingdom)
  • 7. ROR icon Center for Open Science
  • 8. Harvard University
  • 9. ROR icon Dryad Digital Repository
  • 10. ROR icon European Organization for Nuclear Research
  • 11. Institute for Quantitative Social Science, Harvard University
  • 12. University of Milan
  • 13. ROR icon Vivli
  • 14. ROR icon Elsevier BV (Netherlands)
  • 15. ROR icon National Institutes of Health

Description

Abstract

The Generalist Repository Ecosystem Initiative (GREI) is an effort supported by the National Institutes of Health (NIH) to align seven generalist repositories, and develop shared capabilities, services, metrics, and infrastructure to support data sharing while promoting principles that make data findable, accessible, interoperable and reusable (FAIR). Here we show how coopetition (a partnership approach combining cooperation and competition) provided a model for these seven competing actors to generate common value beyond what each could individually achieve. This approach helped address system-wide challenges encountered when developing an open science ecosystem with multiple competing actors. Simultaneously, coopetition supports research reproducibility, encourages data reuse, and prevents data duplication across repositories. Ultimately, the coopetition model itself emerges as a defining outcome for GREI, enabling a cost-effective, impactful, and sustainable catalyst in the FAIR data ecosystem.

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PREPRINT_ Coopetition as a Model to Advance a FAIR Data Ecosystem.pdf

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