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Features of a FAIR vocabulary
BACKGROUND: The Findable, Accessible, Interoperable and Reusable(FAIR) Principles explicitly require the use of FAIR vocabularies, but what precisely constitutes a FAIR vocabulary remains unclear. Being able to define FAIR vocabularies, identify features of FAIR vocabularies, and provide assessment...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10236849/ https://www.ncbi.nlm.nih.gov/pubmed/37264430 http://dx.doi.org/10.1186/s13326-023-00286-8 |
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author | Xu, Fuqi Juty, Nick Goble, Carole Jupp, Simon Parkinson, Helen Courtot, Mélanie |
author_facet | Xu, Fuqi Juty, Nick Goble, Carole Jupp, Simon Parkinson, Helen Courtot, Mélanie |
author_sort | Xu, Fuqi |
collection | PubMed |
description | BACKGROUND: The Findable, Accessible, Interoperable and Reusable(FAIR) Principles explicitly require the use of FAIR vocabularies, but what precisely constitutes a FAIR vocabulary remains unclear. Being able to define FAIR vocabularies, identify features of FAIR vocabularies, and provide assessment approaches against the features can guide the development of vocabularies. RESULTS: We differentiate data, data resources and vocabularies used for FAIR, examine the application of the FAIR Principles to vocabularies, align their requirements with the Open Biomedical Ontologies principles, and propose FAIR Vocabulary Features. We also design assessment approaches for FAIR vocabularies by mapping the FVFs with existing FAIR assessment indicators. Finally, we demonstrate how they can be used for evaluating and improving vocabularies using exemplary biomedical vocabularies. CONCLUSIONS: Our work proposes features of FAIR vocabularies and corresponding indicators for assessing the FAIR levels of different types of vocabularies, identifies use cases for vocabulary engineers, and guides the evolution of vocabularies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13326-023-00286-8. |
format | Online Article Text |
id | pubmed-10236849 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-102368492023-06-03 Features of a FAIR vocabulary Xu, Fuqi Juty, Nick Goble, Carole Jupp, Simon Parkinson, Helen Courtot, Mélanie J Biomed Semantics Research BACKGROUND: The Findable, Accessible, Interoperable and Reusable(FAIR) Principles explicitly require the use of FAIR vocabularies, but what precisely constitutes a FAIR vocabulary remains unclear. Being able to define FAIR vocabularies, identify features of FAIR vocabularies, and provide assessment approaches against the features can guide the development of vocabularies. RESULTS: We differentiate data, data resources and vocabularies used for FAIR, examine the application of the FAIR Principles to vocabularies, align their requirements with the Open Biomedical Ontologies principles, and propose FAIR Vocabulary Features. We also design assessment approaches for FAIR vocabularies by mapping the FVFs with existing FAIR assessment indicators. Finally, we demonstrate how they can be used for evaluating and improving vocabularies using exemplary biomedical vocabularies. CONCLUSIONS: Our work proposes features of FAIR vocabularies and corresponding indicators for assessing the FAIR levels of different types of vocabularies, identifies use cases for vocabulary engineers, and guides the evolution of vocabularies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13326-023-00286-8. BioMed Central 2023-06-01 /pmc/articles/PMC10236849/ /pubmed/37264430 http://dx.doi.org/10.1186/s13326-023-00286-8 Text en © The Author(s) 2023 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Xu, Fuqi Juty, Nick Goble, Carole Jupp, Simon Parkinson, Helen Courtot, Mélanie Features of a FAIR vocabulary |
title | Features of a FAIR vocabulary |
title_full | Features of a FAIR vocabulary |
title_fullStr | Features of a FAIR vocabulary |
title_full_unstemmed | Features of a FAIR vocabulary |
title_short | Features of a FAIR vocabulary |
title_sort | features of a fair vocabulary |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10236849/ https://www.ncbi.nlm.nih.gov/pubmed/37264430 http://dx.doi.org/10.1186/s13326-023-00286-8 |
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