4.7 Article

Unifying the identification of biomedical entities with the Bioregistry

Journal

SCIENTIFIC DATA
Volume 9, Issue 1, Pages -

Publisher

NATURE PORTFOLIO
DOI: 10.1038/s41597-022-01807-3

Keywords

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Funding

  1. Defense Advanced Research Projects Agency (DARPA) Young Faculty Award [W911NF-20-1-0255]
  2. NWO grant [203.001.121]
  3. Sao Paulo Research Foundation (FAPESP) [2019/26284-1]
  4. NIH Office of the Director Grant [5R24OD011883]

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The standardized identification of biomedical entities is important for interoperability and data integration in the life sciences. The Bioregistry is an integrative and open metaregistry that expands upon existing registries to address the evolving needs of researchers. By leveraging public infrastructure and automation, and employing an open code and open data governance model, the Bioregistry promotes interoperability and reuse of data and scientific literature.
The standardized identification of biomedical entities is a cornerstone of interoperability, reuse, and data integration in the life sciences. Several registries have been developed to catalog resources maintaining identifiers for biomedical entities such as small molecules, proteins, cell lines, and clinical trials. However, existing registries have struggled to provide sufficient coverage and metadata standards that meet the evolving needs of modern life sciences researchers. Here, we introduce the Bioregistry, an integrative, open, community-driven metaregistry that synthesizes and substantially expands upon 23 existing registries. The Bioregistry addresses the need for a sustainable registry by leveraging public infrastructure and automation, and employing a progressive governance model centered around open code and open data to foster community contribution. The Bioregistry can be used to support the standardized annotation of data, models, ontologies, and scientific literature, thereby promoting their interoperability and reuse. The Bioregistry can be accessed through https:// bioregistry.io and its source code and data are available under the MIT and CC0 Licenses at https://github.com/biopragmatics/bioregistry.

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