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The Translational Data Catalog - discoverable biomedical datasets.

Danielle Welter1,2, Philippe Rocca-Serra3,4, Valentin Grouès1

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Summary
This summary is machine-generated.

Discovering biomedical datasets from collaborative projects is challenging. The Translational Data Catalog improves data findability using FAIR principles, enhancing machine accessibility for European research programs.

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Area of Science:

  • Biomedical research
  • Data science
  • Information management

Background:

  • Dataset discoverability in translational and biomedical research is often sporadic.
  • Pre-competitive project datasets face challenges due to data-sharing agreements and differing sector priorities.

Purpose of the Study:

  • To present the creation, content, value, and adoption of the Translational Data Catalog.
  • To establish a single discovery point for European Commission-funded research projects and datasets.
  • To ensure datasets are machine-findable and accessible.

Main Methods:

  • Building the Data Catalog on FAIR-enabling community standards.
  • Integrating projects from major European private-public partnership research programs.
  • Focusing on machine accessibility and findability.

Main Results:

  • The Translational Data Catalog provides a centralized discovery point for diverse datasets.
  • It addresses challenges in data sharing for pre-competitive research.
  • The catalog is built on FAIR principles, enhancing data accessibility.

Conclusions:

  • The Translational Data Catalog is a valuable resource for improving biomedical data discoverability.
  • Its foundation on FAIR principles ensures machine accessibility.
  • Sustainability within the ELIXIR ecosystem is a key next step.