AgBioData consortium recommendations for sustainable genomics and genetics databases for agriculture

Lisa Harper Jacqueline Campbell Ethalinda Cannon Sook Jung 1 Monica Poelchau 2 Ramona Walls Carson Andorf Elizabeth Arnaud 3 Tanya Berardini Clayton Birkett Steve Cannon James Carson Bradford Condon Laurel Cooper 4 Nathan Dunn Christine Elsik 5 Andrew Farmer Stephen Ficklin David Grant 6 Jodi Hu Emily Grau Nic Herndon Zhi-Liang Hu 7 Jodi Humann Pankaj Jaiswal 8 Clement Jonquet 9, 10 Marie-Angélique Laporte 11 Pierre Larmande 12 Gerard Lazo Fiona Mccarthy Naama Menda Christopher Mungall Monica Muñoz-Torres 13 Sushma Naithani Rex Nelson Daureen Nesdill Carissa Park James Reecy 14 Leonore Reiser Lacey-Anne Sanderson Taner Sen Margaret Staton 15 Sabarinath Subramaniam Marcela Karey Tello-Ruiz Victor Unda Deepak Unni Liya Wang 16 Doreen Ware 17 Jill Wegrzyn Jason Williams Margaret Woodhouse Jing Yu 18 Doreen Main
Abstract : The 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.
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-01964769
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Lisa Harper, Jacqueline Campbell, Ethalinda Cannon, Sook Jung, Monica Poelchau, et al.. AgBioData consortium recommendations for sustainable genomics and genetics databases for agriculture. Database -Weston-, Online Inc., 2018, 2018 (#bay088), pp.1-32. ⟨10.1093/database/bay088⟩. ⟨lirmm-01964769⟩

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