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. 2023 Jun 1;14(1):6.
doi: 10.1186/s13326-023-00286-8.

Features of a FAIR vocabulary

Fuqi Xu #  1 , Nick Juty #  2 , Carole Goble  2 , Simon Jupp  3 , Helen Parkinson  1 , Mélanie Courtot  4   5   6
Affiliations

Features of a FAIR vocabulary

Fuqi Xu et al. J Biomed Semantics. .

Abstract

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.

Keywords: FAIR assessment; FAIR principles; Ontology; Vocabulary.

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Conflict of interest statement

The authors declare no competing interests.

References

    1. Wilkinson MD, Dumontier M, Aalbersberg IJ, Appleton G, Axton M, Baak A, et al. The FAIR Guiding Principles for scientific data management and stewardship. Sci Data. 2016;3(1):160018. doi: 10.1038/sdata.2016.18. - DOI - PMC - PubMed
    1. The FAIRsharing team, University of Oxford. FAIRassist.org. 2019. https://fairassist.org/. Accessed 1 Sept 2021.
    1. Drysdale R, Cook CE, Petryszak R, Baillie-Gerritsen V, Barlow M, Gasteiger E, et al. The ELIXIR Core Data Resources: fundamental infrastructure for the life sciences. Bioinformatics. 2020;36(8):2636–2642. doi: 10.1093/bioinformatics/btz959. - DOI - PMC - PubMed
    1. Batista D, Wilkinson MD, Prieto M, McQuilton P, Rocca-Serra P, Sansone SA, et al. Fair Evaluation Services. FAIRsharing.org. 2021. https://fairsharing.github.io/FAIR-Evaluator-FrontEnd/. Accessed 1 Sept 2021.
    1. Burdett T, Xu F, Courtot M, et al. FAIRplus: D3.2 IMI FAIR Metrics Publication. Zenodo. 2021. 10.5281/zenodo.4428633.

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