Making Common Fund data more findable: Catalyzing a Data Ecosystem

  1. Amanda L Charbonneau
  2. Arthur Brady
  3. Karl Czajkowski
  4. Jain Aluvathingal
  5. Saranya Canchi
  6. Robert Carter
  7. Kyle Chard
  8. Daniel J.B. Clarke
  9. Heather H Creasy
  10. Mike D’Arcy
  11. Michelle Giglio
  12. Alicia Gingrich
  13. Rayna M Harris
  14. Theresa K Hodges
  15. Olukemi Ifeonu
  16. Minji Jeon
  17. Eryk Kropiwnicki
  18. Marisa C.W. Lim
  19. R. Lee Liming
  20. Meisha Mandal
  21. James B Munro
  22. Suvarna Nadendla
  23. Rudyard Richter
  24. Cia Romano
  25. Philippe Rocca-Serra
  26. Robert E. Schuler
  27. Hongsuda Tangmunarunkit
  28. Alex Waldrop
  29. Cris Williams
  30. Karen Word
  31. Susanna-Assunta Sansone
  32. Avi Ma’ayan
  33. Rick Wagner
  34. Ian Foster
  35. Carl Kesselman
  36. C. Titus Brown
  37. Owen White
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Abstract

The Common Fund Data Ecosystem (CFDE) has created a flexible system of data federation that enables users to discover datasets from across the U.S. National Institutes of Health Common Fund without requiring that data owners move, reformat, or rehost those data. The CFDE’s federation system is centered on a catalog that ingests metadata from individual Common Fund Program’s Data Coordination Centers (DCCs) into a uniform metadata model that can then be indexed and searched from a centralized portal. This uniform Crosscut Metadata Model (C2M2) supports the wide variety of data types and metadata terms used by the individual DCCs and is designed to enable easy expansion to accommodate new data types. We describe its use to ingest and index data from ten DCCs.

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