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Categorizing metadata to help mobilize computable biomedical knowledge.

Brian S Alper1, Allen Flynn2, Bruce E Bray3

  • 1Computable Publishing LLC Ipswich Massachusetts USA.

Learning Health Systems
|January 17, 2022
PubMed
Summary
This summary is machine-generated.

Defining metadata categories is crucial for making computable biomedical knowledge artifacts (CBKs) findable, accessible, interoperable, reusable, and trustable (FAIR+T). This research outlines essential metadata to enhance CBK sharing and usability.

Keywords:
FAIR principlescomputable biomedical knowledgedigital objectsmetadatatrust

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Area of Science:

  • Biomedical Informatics
  • Data Science
  • Knowledge Management

Background:

  • Computable biomedical knowledge artifacts (CBKs) are increasingly complex digital objects.
  • Effective sharing of CBKs requires them to be findable, accessible, interoperable, reusable, and trustable (FAIR+T).
  • Standardized metadata is essential for achieving FAIR+T principles in CBK mobilization.

Purpose of the Study:

  • To outline key metadata categories necessary for making CBKs FAIR+T.
  • To identify existing and missing metadata elements for CBK mobilization.
  • To propose a research agenda for developing a common CBK metadata framework.

Main Methods:

  • Literature review of metadata for FAIR+T digital artifacts.
  • Analysis of metadata for 12 types of existing CBKs.
  • Iterative refinement and consensus on essential metadata categories using subject-predicate-object triples.

Main Results:

  • Defined 13 essential CBK metadata categories for FAIR+T.
  • Identified 11 metadata categories currently evident in online CBKs.
  • Noted the absence of preservation and integrity metadata in current examples, highlighting areas for development.

Conclusions:

  • A comprehensive set of metadata elements across various categories is vital for FAIR+T CBKs.
  • Further development of a common framework for CBK metadata is needed to benefit all stakeholders.
  • Continued research and development are necessary to fully realize the potential of CBK metadata.