ArticlePLoS computational biology2021
Ten simple rules for making a vocabulary FAIR.
Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Re-curating a 90-year ecological data collection from an Australian arid zone enclosure according to FAIR principles.Scientific data · 2026Article
- Definition of reproductive structures in Eucalyptus for phenological data collection.International journal of biometeorology · 2025Review
- Assessing semantic interoperability in environmental sciences: variety of approaches and semantic artefacts.Scientific data · 2024Article
- [FAIR health data in the national and international data space].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2024Article
- A maturity model for catalogues of semantic artefacts.Scientific data · 2024Article
- FAIR-Checker: supporting digital resource findability and reuse with Knowledge Graphs and Semantic Web standards.Journal of biomedical semantics · 2023Article
- Features of a FAIR vocabulary.Journal of biomedical semantics · 2023Article
- FAIR principles for AI models with a practical application for accelerated high energy diffraction microscopy.Scientific data · 2022Article
- FAIR data pipeline: provenance-driven data management for traceable scientific workflows.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2022Article
- Globally Accessible Distributed Data Sharing (GADDS): a decentralized FAIR platform to facilitate data sharing in the life sciences.Bioinformatics (Oxford, England) · 2022Article
- An automated solution for measuring the progress toward FAIR research data.Patterns (New York, N.Y.) · 2021Article
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Authors and funding
4 authors.
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Abstract
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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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.