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Unifying the identification of biomedical entities with the Bioregistry.
Hoyt, Charles Tapley; Balk, Meghan; Callahan, Tiffany J; Domingo-Fernández, Daniel; Haendel, Melissa A; Hegde, Harshad B; Himmelstein, Daniel S; Karis, Klas; Kunze, John; Lubiana, Tiago; Matentzoglu, Nicolas; McMurry, Julie; Moxon, Sierra; Mungall, Christopher J; Rutz, Adriano; Unni, Deepak R; Willighagen, Egon; Winston, Donald; Gyori, Benjamin M.
Afiliação
  • Hoyt CT; Laboratory of Systems Pharmacology, Harvard Medical School, Boston, USA.
  • Balk M; University of Arizona, Tucson, USA.
  • Callahan TJ; University of Colorado Anschutz Medical Campus, Aurora, USA.
  • Domingo-Fernández D; Department of Bioinformatics, Fraunhofer SCAI, Sankt Augustin, Germany.
  • Haendel MA; Enveda Biosciences, Boulder, USA.
  • Hegde HB; University of Colorado Anschutz Medical Campus, Aurora, USA.
  • Himmelstein DS; Lawrence Berkeley National Laboratory, Berkeley, USA.
  • Karis K; Related Sciences, Denver, USA.
  • Kunze J; Laboratory of Systems Pharmacology, Harvard Medical School, Boston, USA.
  • Lubiana T; California Digital Library, University of California, Berkeley, USA.
  • Matentzoglu N; School of Pharmaceutical Sciences, University of São Paulo, São Paulo, Brazil.
  • McMurry J; Semanticly, London, UK.
  • Moxon S; University of Colorado Anschutz Medical Campus, Aurora, USA.
  • Mungall CJ; Lawrence Berkeley National Laboratory, Berkeley, USA.
  • Rutz A; Lawrence Berkeley National Laboratory, Berkeley, USA.
  • Unni DR; School of Pharmaceutical Sciences, University of Geneva, Geneva, Switzerland.
  • Willighagen E; Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, Geneva, Switzerland.
  • Winston D; Lawrence Berkeley National Laboratory, Berkeley, USA.
  • Gyori BM; European Molecular Biology Laboratory, Heidelberg, Germany.
Sci Data ; 9(1): 714, 2022 11 19.
Article em En | MEDLINE | ID: mdl-36402838
ABSTRACT
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 .

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article