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Uniform resolution of compact identifiers for biomedical data
Most biomedical data repositories issue locally-unique accessions numbers, but do not provide globally unique, machine-resolvable, persistent identifiers for their datasets, as required by publishers wishing to implement data citation in accordance with widely accepted principles. Local accessions m...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5944906/ https://www.ncbi.nlm.nih.gov/pubmed/29737976 http://dx.doi.org/10.1038/sdata.2018.29 |
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author | Wimalaratne, Sarala M. Juty, Nick Kunze, John Janée, Greg McMurry, Julie A. Beard, Niall Jimenez, Rafael Grethe, Jeffrey S. Hermjakob, Henning Martone, Maryann E. Clark, Tim |
author_facet | Wimalaratne, Sarala M. Juty, Nick Kunze, John Janée, Greg McMurry, Julie A. Beard, Niall Jimenez, Rafael Grethe, Jeffrey S. Hermjakob, Henning Martone, Maryann E. Clark, Tim |
author_sort | Wimalaratne, Sarala M. |
collection | PubMed |
description | Most biomedical data repositories issue locally-unique accessions numbers, but do not provide globally unique, machine-resolvable, persistent identifiers for their datasets, as required by publishers wishing to implement data citation in accordance with widely accepted principles. Local accessions may however be prefixed with a namespace identifier, providing global uniqueness. Such “compact identifiers” have been widely used in biomedical informatics to support global resource identification with local identifier assignment. We report here on our project to provide robust support for machine-resolvable, persistent compact identifiers in biomedical data citation, by harmonizing the Identifiers.org and N2T.net (Name-To-Thing) meta-resolvers and extending their capabilities. Identifiers.org services hosted at the European Molecular Biology Laboratory - European Bioinformatics Institute (EMBL-EBI), and N2T.net services hosted at the California Digital Library (CDL), can now resolve any given identifier from over 600 source databases to its original source on the Web, using a common registry of prefix-based redirection rules. We believe these services will be of significant help to publishers and others implementing persistent, machine-resolvable citation of research data. |
format | Online Article Text |
id | pubmed-5944906 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-59449062018-05-29 Uniform resolution of compact identifiers for biomedical data Wimalaratne, Sarala M. Juty, Nick Kunze, John Janée, Greg McMurry, Julie A. Beard, Niall Jimenez, Rafael Grethe, Jeffrey S. Hermjakob, Henning Martone, Maryann E. Clark, Tim Sci Data Article Most biomedical data repositories issue locally-unique accessions numbers, but do not provide globally unique, machine-resolvable, persistent identifiers for their datasets, as required by publishers wishing to implement data citation in accordance with widely accepted principles. Local accessions may however be prefixed with a namespace identifier, providing global uniqueness. Such “compact identifiers” have been widely used in biomedical informatics to support global resource identification with local identifier assignment. We report here on our project to provide robust support for machine-resolvable, persistent compact identifiers in biomedical data citation, by harmonizing the Identifiers.org and N2T.net (Name-To-Thing) meta-resolvers and extending their capabilities. Identifiers.org services hosted at the European Molecular Biology Laboratory - European Bioinformatics Institute (EMBL-EBI), and N2T.net services hosted at the California Digital Library (CDL), can now resolve any given identifier from over 600 source databases to its original source on the Web, using a common registry of prefix-based redirection rules. We believe these services will be of significant help to publishers and others implementing persistent, machine-resolvable citation of research data. Nature Publishing Group 2018-05-08 /pmc/articles/PMC5944906/ /pubmed/29737976 http://dx.doi.org/10.1038/sdata.2018.29 Text en Copyright © 2018, The Author(s) http://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/ |
spellingShingle | Article Wimalaratne, Sarala M. Juty, Nick Kunze, John Janée, Greg McMurry, Julie A. Beard, Niall Jimenez, Rafael Grethe, Jeffrey S. Hermjakob, Henning Martone, Maryann E. Clark, Tim Uniform resolution of compact identifiers for biomedical data |
title | Uniform resolution of compact identifiers for biomedical data |
title_full | Uniform resolution of compact identifiers for biomedical data |
title_fullStr | Uniform resolution of compact identifiers for biomedical data |
title_full_unstemmed | Uniform resolution of compact identifiers for biomedical data |
title_short | Uniform resolution of compact identifiers for biomedical data |
title_sort | uniform resolution of compact identifiers for biomedical data |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5944906/ https://www.ncbi.nlm.nih.gov/pubmed/29737976 http://dx.doi.org/10.1038/sdata.2018.29 |
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