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dc.contributor.authorDzale-Yeumo, E.en_US
dc.contributor.authorAlaux, M.en_US
dc.contributor.authorArnaud, Elizabethen_US
dc.contributor.authorAubin, S.en_US
dc.contributor.authorBaumann, U.en_US
dc.contributor.authorBuche, P.en_US
dc.contributor.authorCooper, L.en_US
dc.contributor.authorCwiek-Kupczynska, H.en_US
dc.contributor.authorDavey, R.P.en_US
dc.contributor.authorFulss, R.A.en_US
dc.contributor.authorJonquet, C.en_US
dc.contributor.authorLaporte, Marie-Angéliqueen_US
dc.contributor.authorLarmande, Pierreen_US
dc.contributor.authorPommier, C.en_US
dc.contributor.authorProtonotarios, V.en_US
dc.contributor.authorReverte, C.en_US
dc.contributor.authorShrestha, R.en_US
dc.contributor.authorSubirats, I.en_US
dc.contributor.authorVenkatesan, A.en_US
dc.contributor.authorWhan, A.en_US
dc.contributor.authorQuesneville, H.en_US
dc.date.accessioned2017-12-29T09:30:46Zen_US
dc.date.available2017-12-29T09:30:46Zen_US
dc.identifier.urihttps://hdl.handle.net/10568/89854en_US
dc.titleDeveloping data interoperability using standards: A wheat community use caseen_US
cg.subject.bioversityONTOLOGYen_US
cg.subject.bioversitySTANDARDSen_US
cg.subject.bioversityKNOWLEDGE ORGANIZATION SYSTEMen_US
cg.authorship.typesCGIAR and advanced research instituteen_US
dcterms.abstractIn this article, we present a joint effort of the wheat research community, along with data and ontology experts, to develop wheat data interoperability guidelines. Interoperability is the ability of two or more systems and devices to cooperate and exchange data, and interpret that shared information. Interoperability is a growing concern to the wheat scientific community, and agriculture in general, as the need to interpret the deluge of data obtained through high-throughput technologies grows. Agreeing on common data formats, metadata, and vocabulary standards is an important step to obtain the required data interoperability level in order to add value by encouraging data sharing, and subsequently facilitate the extraction of new information from existing and new datasets. During a period of more than 18 months, the RDA Wheat Data Interoperability Working Group (WDI-WG) surveyed the wheat research community about the use of data standards, then discussed and selected a set of recommendations based on consensual criteria. The recommendations promote standards for data types identified by the wheat research community as the most important for the coming years: nucleotide sequence variants, genome annotations, phenotypes, germplasm data, gene expression experiments, and physical maps. For each of these data types, the guidelines recommend best practices in terms of use of data formats, metadata standards and ontologies. In addition to the best practices, the guidelines provide examples of tools and implementations that are likely to facilitate the adoption of the recommendations. To maximize the adoption of the recommendations, the WDI-WG used a community-driven approach that involved the wheat research community from the start, took into account their needs and practices, and provided them with a framework to keep the recommendations up to date. We also report this approach’s potential to be generalizable to other (agricultural) domains.en_US
dcterms.accessRightsOpen Accessen_US
dcterms.available2017-12-06en_US
dcterms.bibliographicCitationDzale Yeumo, E.; Alaux, M.; Arnaud, E.; Aubin, S.; Baumann, U.; Buche, P.; Cooper, L.; Cwiek-Kupczynska, H.; Davey, R.P.; Fulss, R.A.; Jonquet, C.; Laporte, M-A.; Larmande, P.; Pommier, C.; Protonotarios, V.; Reverte, C.; Shrestha, R.; Subirats, I.; Venkatesan, A.; Whan, A.; Quesneville, H. (2017) Developing data interoperability using standards: A wheat community use case. [version 2; referees: 2 approved]. F1000Research 6:1843en_US
dcterms.issued2017en_US
dcterms.languageenen_US
dcterms.licenseCC-BY-4.0en_US
dcterms.publisherF1000 Research Ltden_US
dcterms.subjectontologyen_US
dcterms.subjectstandardsen_US
dcterms.subjectterminologyen_US
dcterms.subjectknowledge organization systemen_US
dcterms.subjectdataen_US
dcterms.subjectwheaten_US
dcterms.typeJournal Articleen_US
cg.contributor.affiliationInstitut National de la Recherche Agronomique, Franceen_US
cg.contributor.affiliationBioversity Internationalen_US
cg.contributor.affiliationUniversity of Adelaideen_US
cg.contributor.affiliationInstitut National de la Recherche Scientifique (France)en_US
cg.contributor.affiliationOregon State Universityen_US
cg.contributor.affiliationPolish Academy of Sciencesen_US
cg.contributor.affiliationEarlham Instituteen_US
cg.contributor.affiliationInternational Maize and Wheat Improvement Centeren_US
cg.contributor.affiliationStanford Universityen_US
cg.contributor.affiliationUniversité de Montpellieren_US
cg.contributor.affiliationInstitut de Recherche pour le Développement, Franceen_US
cg.contributor.affiliationNEUROPUBLIC S.Aen_US
cg.contributor.affiliationInstitut de Recerca i Tecnologia Agroalimentaries (Spain)en_US
cg.contributor.affiliationFood and Agriculture Organization of the United Nationsen_US
cg.contributor.affiliationCommonwealth Scientific and Industrial Research Organisation, Australiaen_US
cg.identifier.doihttps://doi.org/10.12688/f1000research.12234.2en_US
cg.contributor.crpBig Dataen_US
cg.subject.systemdataen_US
cg.creator.identifierElizabeth Arnaud: 0000-0002-6020-5919en_US
cg.reviewStatusPeer Reviewen_US
cg.journalF1000Researchen_US


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