AgBioData consortium recommendations for sustainable genomics and genetics databases for agriculture

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cg.authorship.typesCGIAR and advanced research instituteen
cg.contributor.affiliationUnited States Department of Agricultureen
cg.contributor.affiliationIowa State Universityen
cg.contributor.affiliationWashington State Universityen
cg.contributor.affiliationUniversity of Arizonaen
cg.contributor.affiliationBioversity Internationalen
cg.contributor.affiliationPhoenix Bioinformaticsen
cg.contributor.affiliationUniversity of Texasen
cg.contributor.affiliationOregon State Universityen
cg.contributor.affiliationLawrence Berkeley National Laboratoryen
cg.contributor.affiliationUniversity of Missourien
cg.contributor.affiliationNational Center for Genome Resourcesen
cg.contributor.affiliationUniversity of Connecticuten
cg.contributor.affiliationUniversité de Montpellieren
cg.contributor.affiliationBoyce Thompson Institute for Plant Researchen
cg.contributor.affiliationUniversity of Utahen
cg.contributor.affiliationUniversity of Saskatchewanen
cg.contributor.affiliationUniversity of Tennesseeen
cg.contributor.affiliationDNA Learning Centeren
cg.contributor.crpBig Data
cg.creator.identifierElizabeth Arnaud: 0000-0002-6020-5919en
cg.creator.identifierMarie-Angélique Laporte: 0000-0002-8461-9745en
cg.identifier.doihttps://doi.org/10.1093/database/bay088en
cg.isijournalISI Journalen
cg.issn1758-0463en
cg.journalDatabaseen
cg.reviewStatusPeer Reviewen
cg.subject.bioversityDATABASESen
cg.subject.bioversityDATA MANAGEMENTen
cg.subject.bioversityACCESS TO INFORMATIONen
cg.subject.bioversityAGRICULTURAL RESEARCHen
cg.volume2018en
dc.contributor.authorHarper, L.en
dc.contributor.authorCampbell, J.en
dc.contributor.authorCannon, Ethalinda K.S.en
dc.contributor.authorJung, S.en
dc.contributor.authorPoelchau, M.en
dc.contributor.authorWalls, R.en
dc.contributor.authorAndorf, C.en
dc.contributor.authorArnaud, Elizabethen
dc.contributor.authorBerardini, T.Z.en
dc.contributor.authorBirkett, Clay L.en
dc.contributor.authorCannon, S.en
dc.contributor.authorCarson, J.en
dc.contributor.authorCondon, B.en
dc.contributor.authorCooper, Laurel D.en
dc.contributor.authorDunn, N.en
dc.contributor.authorElsik, C.G.en
dc.contributor.authorFarmer, Aen
dc.contributor.authorFicklin, S.P.en
dc.contributor.authorGrant, D.en
dc.contributor.authorGrau, E.en
dc.contributor.authorHerndon, N.en
dc.contributor.authorHu, Z.L.en
dc.contributor.authorHumann, J.en
dc.contributor.authorJaiswal, P.en
dc.contributor.authorJonquet, C.en
dc.contributor.authorLaporte, Marie-Angéliqueen
dc.contributor.authorLarmande, Pierreen
dc.contributor.authorLazo, G.en
dc.contributor.authorMcCarthy, F.en
dc.contributor.authorMenda, N.en
dc.contributor.authorMungall, C.J.en
dc.contributor.authorMuñoz Torres, Mónica Ceciliaen
dc.contributor.authorNaithani, S.en
dc.contributor.authorNelson, R.en
dc.contributor.authorNesdill, D.en
dc.contributor.authorPark, C.en
dc.contributor.authorReecy, J.en
dc.contributor.authorReiser, L.en
dc.contributor.authorSanderson, Lacey-Anneen
dc.contributor.authorSen, T.Z.en
dc.contributor.authorStaton, M.en
dc.contributor.authorSubramaniam, S.en
dc.contributor.authorTello-Ruiz, M.K.en
dc.contributor.authorUnda, V.en
dc.contributor.authorUnni, D.en
dc.contributor.authorWang, L.en
dc.contributor.authorWare, D.en
dc.contributor.authorWegrzyn, J.en
dc.contributor.authorWilliams, J.en
dc.contributor.authorWoodhouse, M.T.en
dc.contributor.authorYu, J.en
dc.contributor.authorMain, D.en
dc.date.accessioned2019-04-16T13:02:47Zen
dc.date.available2019-04-16T13:02:47Zen
dc.identifier.urihttps://hdl.handle.net/10568/100809
dc.titleAgBioData consortium recommendations for sustainable genomics and genetics databases for agricultureen
dcterms.abstractThe future of agricultural research depends on data. The sheer volume of agricultural biological data being produced today makes excellent data management essential. Governmental agencies, publishers and science funders require data management plans for publicly funded research. Furthermore, the value of data increases exponentially when they are properly stored, described, integrated and shared, so that they can be easily utilized in future analyses. AgBioData (https://www.agbiodata.org) is a consortium of people working at agricultural biological databases, data archives and knowledgbases who strive to identify common issues in database development, curation and management, with the goal of creating database products that are more Findable, Accessible, Interoperable and Reusable. We strive to promote authentic, detailed, accurate and explicit communication between all parties involved in scientific data. As a step toward this goal, we present the current state of biocuration, ontologies, metadata and persistence, database platforms, programmatic (machine) access to data, communication and sustainability with regard to data curation. Each section describes challenges and opportunities for these topics, along with recommendations and best practices.en
dcterms.accessRightsOpen Access
dcterms.audienceScientistsen
dcterms.available2018-09-18en
dcterms.bibliographicCitationHarper, L.; Campbell, J.; Cannon, E.; Jung, S.; Poelchau, M.; Walls, R.; Andorf, C.; Arnaud, E.; Berardini, T.Z.; Birkett, C.; Cannon, S.; Carson, J.; Condon, B.; Cooper, L.; Dunn, N.; Elsik, C.G.; Farmer, A.; Ficklin, S.P.; Grant, D.; Grau, E.; Herndon, N.;, Hu, Z.L.; Humann, J.; Jaiswal, P.; Jonquet, C.; Laporte, M-A.; Larmande, P.; Lazo, G.; McCarthy, F.; Menda, N.; Mungall, C.J.; Munoz-Torres, M.C.; Naithani, S.; Nelson, R.; Nesdill, D.; Park, C.; Reecy, J.; Reiser, L.; Sanderson, L.A.; Sen, T.Z.; Staton, M.; Subramaniam, S.; Tello-Ruiz, M.K.; Unda, V.; Unni, D.; Wang, L.; Ware, D.; Wegrzyn, J.; Williams, J.; Woodhouse, M.; Yu, J.; Main, D. (2018) AgBioData consortium recommendations for sustainable genomics and genetics databases for agriculture. Database vol. 2018, bay088. ISSN: 1758-0463en
dcterms.extent32 p.en
dcterms.issued2018-01-01en
dcterms.languageen
dcterms.licenseCC-BY-4.0
dcterms.publisherOxford University Pressen
dcterms.subjectdatabasesen
dcterms.subjectdataen
dcterms.subjectaccess to informationen
dcterms.subjectdata collectionen
dcterms.subjectdata managementen
dcterms.subjectagricultural researchen
dcterms.subjectinformation systemsen
dcterms.typeJournal Article

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