Literature DB >> 34133421

Ten simple rules for making a vocabulary FAIR.

Simon J D Cox1, Alejandra N Gonzalez-Beltran2, Barbara Magagna3, Maria-Cristina Marinescu4.   

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.

Entities:  

Year:  2021        PMID: 34133421     DOI: 10.1371/journal.pcbi.1009041

Source DB:  PubMed          Journal:  PLoS Comput Biol        ISSN: 1553-734X            Impact factor:   4.475


  2 in total

1.  FAIR data pipeline: provenance-driven data management for traceable scientific workflows.

Authors:  Sonia Natalie Mitchell; Andrew Lahiff; Nathan Cummings; Jonathan Hollocombe; Bram Boskamp; Ryan Field; Dennis Reddyhoff; Kristian Zarebski; Antony Wilson; Bruno Viola; Martin Burke; Blair Archibald; Paul Bessell; Richard Blackwell; Lisa A Boden; Alys Brett; Sam Brett; Ruth Dundas; Jessica Enright; Alejandra N Gonzalez-Beltran; Claire Harris; Ian Hinder; Christopher David Hughes; Martin Knight; Vino Mano; Ciaran McMonagle; Dominic Mellor; Sibylle Mohr; Glenn Marion; Louise Matthews; Iain J McKendrick; Christopher Mark Pooley; Thibaud Porphyre; Aaron Reeves; Edward Townsend; Robert Turner; Jeremy Walton; Richard Reeve
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2022-08-15       Impact factor: 4.019

2.  Globally Accessible Distributed Data Sharing (GADDS): a decentralized FAIR platform to facilitate data sharing in the life sciences.

Authors:  Pavel Vazquez; Kayoko Hirayama-Shoji; Steffen Novik; Stefan Krauss; Simon Rayner
Journal:  Bioinformatics       Date:  2022-05-27       Impact factor: 6.931

  2 in total

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