Unifying the identification of biomedical entities with the Bioregistry

Author:

Hoyt Charles Tapley,Balk MeghanORCID,Callahan Tiffany J.,Domingo-Fernández Daniel,Haendel Melissa A.,Hegde Harshad B.,Himmelstein Daniel S.ORCID,Karis KlasORCID,Kunze John,Lubiana Tiago,Matentzoglu Nicolas,McMurry Julie,Moxon Sierra,Mungall Christopher J.,Rutz AdrianoORCID,Unni Deepak R.,Willighagen EgonORCID,Winston Donald,Gyori Benjamin M.ORCID

Abstract

AbstractThe 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.

Funder

United States Department of Defense | Defense Advanced Research Projects Agency

U.S. Department of Health & Human Services | NIH | NIH Office of the Director

Fundação de Amparo à Pesquisa do Estado de São Paulo

Nederlandse Organisatie voor Wetenschappelijk Onderzoek

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Statistics, Probability and Uncertainty,Computer Science Applications,Education,Information Systems,Statistics and Probability

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