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Unifying the identification of biomedical entities with the Bioregistry

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, an...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9675740/
https://www.ncbi.nlm.nih.gov/pubmed/36402838
http://dx.doi.org/10.1038/s41597-022-01807-3
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author 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.
author_facet 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.
author_sort Hoyt, Charles Tapley
collection PubMed
description 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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spelling pubmed-96757402022-11-21 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. Sci Data Article 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. Nature Publishing Group UK 2022-11-19 /pmc/articles/PMC9675740/ /pubmed/36402838 http://dx.doi.org/10.1038/s41597-022-01807-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
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.
Unifying the identification of biomedical entities with the Bioregistry
title Unifying the identification of biomedical entities with the Bioregistry
title_full Unifying the identification of biomedical entities with the Bioregistry
title_fullStr Unifying the identification of biomedical entities with the Bioregistry
title_full_unstemmed Unifying the identification of biomedical entities with the Bioregistry
title_short Unifying the identification of biomedical entities with the Bioregistry
title_sort unifying the identification of biomedical entities with the bioregistry
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9675740/
https://www.ncbi.nlm.nih.gov/pubmed/36402838
http://dx.doi.org/10.1038/s41597-022-01807-3
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