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Ten simple rules for making a vocabulary FAIR
We present ten simple rules that support converting a legacy vocabulary—a list of terms available in a print-based glossary or in a table not accessible using web standards—into a FAIR vocabulary. Various pathways may be followed to publish the FAIR vocabulary, but we emphasise particularly the goal...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8238180/ https://www.ncbi.nlm.nih.gov/pubmed/34133421 http://dx.doi.org/10.1371/journal.pcbi.1009041 |
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author | Cox, Simon J. D. Gonzalez-Beltran, Alejandra N. Magagna, Barbara Marinescu, Maria-Cristina |
author_facet | Cox, Simon J. D. Gonzalez-Beltran, Alejandra N. Magagna, Barbara Marinescu, Maria-Cristina |
author_sort | Cox, Simon J. D. |
collection | PubMed |
description | We present ten simple rules that support converting a legacy vocabulary—a list of terms available in a print-based glossary or in a table not accessible using web standards—into a FAIR vocabulary. Various pathways may be followed to publish the FAIR vocabulary, but we emphasise particularly the goal of providing a globally unique resolvable identifier for each term or concept. A standard representation of the concept should be returned when the individual web identifier is resolved, using SKOS or OWL serialised in an RDF-based representation for machine-interchange and in a web-page for human consumption. Guidelines for vocabulary and term metadata are provided, as well as development and maintenance considerations. The rules are arranged as a stepwise recipe for creating a FAIR vocabulary based on the legacy vocabulary. By following these rules you can achieve the outcome of converting a legacy vocabulary into a standalone FAIR vocabulary, which can be used for unambiguous data annotation. In turn, this increases data interoperability and enables data integration. |
format | Online Article Text |
id | pubmed-8238180 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-82381802021-07-09 Ten simple rules for making a vocabulary FAIR Cox, Simon J. D. Gonzalez-Beltran, Alejandra N. Magagna, Barbara Marinescu, Maria-Cristina PLoS Comput Biol Research Article We present ten simple rules that support converting a legacy vocabulary—a list of terms available in a print-based glossary or in a table not accessible using web standards—into a FAIR vocabulary. Various pathways may be followed to publish the FAIR vocabulary, but we emphasise particularly the goal of providing a globally unique resolvable identifier for each term or concept. A standard representation of the concept should be returned when the individual web identifier is resolved, using SKOS or OWL serialised in an RDF-based representation for machine-interchange and in a web-page for human consumption. Guidelines for vocabulary and term metadata are provided, as well as development and maintenance considerations. The rules are arranged as a stepwise recipe for creating a FAIR vocabulary based on the legacy vocabulary. By following these rules you can achieve the outcome of converting a legacy vocabulary into a standalone FAIR vocabulary, which can be used for unambiguous data annotation. In turn, this increases data interoperability and enables data integration. Public Library of Science 2021-06-16 /pmc/articles/PMC8238180/ /pubmed/34133421 http://dx.doi.org/10.1371/journal.pcbi.1009041 Text en © 2021 Cox et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Cox, Simon J. D. Gonzalez-Beltran, Alejandra N. Magagna, Barbara Marinescu, Maria-Cristina Ten simple rules for making a vocabulary FAIR |
title | Ten simple rules for making a vocabulary FAIR |
title_full | Ten simple rules for making a vocabulary FAIR |
title_fullStr | Ten simple rules for making a vocabulary FAIR |
title_full_unstemmed | Ten simple rules for making a vocabulary FAIR |
title_short | Ten simple rules for making a vocabulary FAIR |
title_sort | ten simple rules for making a vocabulary fair |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8238180/ https://www.ncbi.nlm.nih.gov/pubmed/34133421 http://dx.doi.org/10.1371/journal.pcbi.1009041 |
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