dc.contributor.author | Cox, Simon J. D. | |
dc.contributor.author | Gonzalez-Beltran, Alejandra N. | |
dc.contributor.author | Magagna, Barbara | |
dc.contributor.author | Marinescu, Maria- Cristina | |
dc.date.accessioned | 2023-10-26T23:32:55Z | |
dc.date.available | 2023-10-26T23:32:55Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | Cox, 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.1009041 | en_US |
dc.identifier.uri | https://repository.oceanbestpractices.org/handle/11329/2384 | |
dc.description.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. | en_US |
dc.language.iso | en | en_US |
dc.rights | Attribution 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.subject.other | FAIR Principles | en_US |
dc.subject.other | Legacy vocabulary | en_US |
dc.subject.other | FAIR vocabulary | en_US |
dc.title | Ten simple rules for making a vocabulary FAIR | en_US |
dc.type | Journal Contribution | en_US |
dc.description.refereed | Refereed | en_US |
dc.format.pagerange | 15pp. | en_US |
dc.identifier.doi | https://doi.org/10.1371/journal. pcbi.1009041 | |
dc.subject.parameterDiscipline | Cross-discipline | en_US |
dc.subject.dmProcesses | Controlled vocabulary development | en_US |
dc.subject.dmProcesses | Ontology development | en_US |
dc.bibliographicCitation.title | PLoS Computational Biology | en_US |
dc.bibliographicCitation.volume | 17 | en_US |
dc.bibliographicCitation.issue | 6:e1009041. | en_US |
dc.description.sdg | 14.a | en_US |
dc.description.methodologyType | Method | en_US |
obps.contact.contactname | Simon Cox | |
obps.contact.contactemail | simon.cox@csiro.au | |
obps.resourceurl.publisher | https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1009041 | |