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Summary
This summary is machine-generated.

We developed infrastructure to simplify life science dataset sharing and publishing as linked data. This enables easy creation of data portals and citation tracking for enhanced data discoverability and reuse.

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Area of Science:

  • Life Sciences
  • Bioinformatics
  • Data Science

Background:

  • Encouraging data sharing in life sciences requires minimizing effort and maximizing incentives.
  • Existing tools often present barriers to effective dataset publication and integration.

Purpose of the Study:

  • To present infrastructure for creating data portals that support dataset sharing and linked data publishing.
  • To introduce an extension for easy citation of datasets within publications and derived datasets.

Main Methods:

  • Developed infrastructure integrating Comprehensive Knowledge Archive Network (CKAN) and Prizms.
  • Utilized Linked Data principles for data acquisition, integration, and publishing.
  • Created a CKAN extension for nanopublication and World Wide Web Consortium provenance standards.

Main Results:

  • Successfully created a melanoma dataset portal using the developed infrastructure.
  • Demonstrated simplified publishing of high-quality linked data.
  • Enabled easy citation of datasets using emerging standards.

Conclusions:

  • The developed infrastructure effectively facilitates life science dataset sharing and linked data publication.
  • The CKAN extension enhances dataset traceability and citation, promoting data reuse.
  • This approach lowers barriers to data sharing and supports reproducible research.