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dc.contributor.authorCox, Simon J. D.
dc.contributor.authorGonzalez-Beltran, Alejandra N.
dc.contributor.authorMagagna, Barbara
dc.contributor.authorMarinescu, Maria- Cristina
dc.date.accessioned2023-10-26T23:32:55Z
dc.date.available2023-10-26T23:32:55Z
dc.date.issued2021
dc.identifier.citationCox, S.J.D., Gonzalez-Beltran, A.N., Magagna, B. and Marinescu, M-C .(2021) Ten simple rules for making a vocabulary FAIR. PLoS Computational Biology, 17(6): e1009041, 15pp. DOI: https://doi.org/10.1371/journal. pcbi.1009041en_US
dc.identifier.urihttps://repository.oceanbestpractices.org/handle/11329/2384
dc.description.abstractWe 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.en_US
dc.language.isoenen_US
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subject.otherFAIR Principlesen_US
dc.subject.otherLegacy vocabularyen_US
dc.subject.otherFAIR vocabularyen_US
dc.titleTen simple rules for making a vocabulary FAIRen_US
dc.typeJournal Contributionen_US
dc.description.refereedRefereeden_US
dc.format.pagerange15pp.en_US
dc.identifier.doihttps://doi.org/10.1371/journal. pcbi.1009041
dc.subject.parameterDisciplineCross-disciplineen_US
dc.subject.dmProcessesControlled vocabulary developmenten_US
dc.subject.dmProcessesOntology developmenten_US
dc.bibliographicCitation.titlePLoS Computational Biologyen_US
dc.bibliographicCitation.volume17en_US
dc.bibliographicCitation.issue6:e1009041.en_US
dc.description.sdg14.aen_US
dc.description.methodologyTypeMethoden_US
obps.contact.contactnameSimon Cox
obps.contact.contactemailsimon.cox@csiro.au
obps.resourceurl.publisherhttps://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1009041


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Attribution 4.0 International
Except where otherwise noted, this item's license is described as Attribution 4.0 International