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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...

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Autores principales: Cox, Simon J. D., Gonzalez-Beltran, Alejandra N., Magagna, Barbara, Marinescu, Maria-Cristina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
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.
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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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