03387nas a2200829   4500000000100000000000100001008004100002260001500043653001600058653001300074653002300087653001800110653001300128653001300141653003100154100001600185700002400201700002100225700001400246700002000260700001700280700001800297700002100315700002000336700002000356700001700376700001700393700002000410700001800430700001600448700002000464700001800484700002000502700001600522700001500538700001600553700001700569700001600586700001900602700002000621700002900641700002000670700001600690700001900706700001600725700002400741700002400765700002000789700001500809700002000824700001700844700001600861700001900877700002500896700001400921700002000935700002700955700002300982700001601005700001601021700001401037700001601051700001701067700001901084700002301103700001201126700001601138245010601154490000901260520127401269022001402543       2018                            d  c2018 01 0110aAgriculture10aBreeding10aDatabases, Genetic10aGene Ontology10aGenomics10aMetadata10aSurveys and Questionnaires1 aLisa Harper1 aJacqueline Campbell1 aEthalinda Cannon1 aSook Jung1 aMonica Poelchau1 aRamona Walls1 aCarson Andorf1 aElizabeth Arnaud1 aTanya Berardini1 aClayton Birkett1 aSteve Cannon1 aJames Carson1 aBradford Condon1 aLaurel Cooper1 aNathan Dunn1 aChristine Elsik1 aAndrew Farmer1 aStephen Ficklin1 aDavid Grant1 aEmily Grau1 aNic Herndon1 aZhi-Liang Hu1 aJodi Humann1 aPankaj Jaiswal1 aClement Jonquet1 aMarie-Angélique Laporte1 aPierre Larmande1 aGerard Lazo1 aFiona McCarthy1 aNaama Menda1 aChristopher Mungall1 aMonica Munoz-Torres1 aSushma Naithani1 aRex Nelson1 aDaureen Nesdill1 aCarissa Park1 aJames Reecy1 aLeonore Reiser1 aLacey-Anne Sanderson1 aTaner Sen1 aMargaret Staton1 aSabarinath Subramaniam1 aMarcela Tello-Ruiz1 aVictor Unda1 aDeepak Unni1 aLiya Wang1 aDoreen Ware1 aJill Wegrzyn1 aJason Williams1 aMargaret Woodhouse1 aJing Yu1 aDoreen Main00aAgBioData consortium recommendations for sustainable genomics and genetics databases for agriculture.0 v20183 aThe 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.  a1758-0463