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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 Tanya Berardini Clayton Birkett Steve Cannon James Carson Bradford Condon Laurel Cooper 3 Nathan Dunn Christine Elsik 4 Andrew Farmer Stephen Ficklin David Grant 5 Jodi Hu Emily Grau Nic Herndon Zhi-Liang Hu 6 Jodi Humann Pankaj Jaiswal 7 Clement Jonquet 8, 9 Marie-Angélique Laporte 10 Pierre Larmande 11 Gerard Lazo Fiona Mccarthy Naama Menda Christopher Mungall Monica Muñoz-Torres 12 Sushma Naithani Rex Nelson Daureen Nesdill Carissa Park James Reecy 13 Leonore Reiser Lacey-Anne Sanderson Taner Sen Margaret Staton 14 Sabarinath Subramaniam Marcela Karey Tello-Ruiz Victor Unda Deepak Unni Liya Wang 15 Doreen Ware 16 Jill Wegrzyn Jason Williams Margaret Woodhouse Jing Yu 17 Doreen Main
1 Dept Hort & Landscape Architecture
2 GU - Georgetown University [Washington]
3 Department of Botany and Plant Pathology
4 University of Missouri [Columbia]
5 Energy and Sustainability Research Division
6 Department of Animal Science and Center for Integrated Animal Genomics
7 PDC - Plastes et différenciation cellulaire
8 FADO - Fuzziness, Alignments, Data & Ontologies
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
9 Stanford University School of Medicine [Stanford]
10 German Centre for Integrative Biodiversity Research
11 UMR DIADE - Diversité, adaptation, développement des plantes
12 LBNL - Lawrence Berkeley National Laboratory [Berkeley]
13 Department of Animal Science
14 Department of Entomology and Plant Pathology
15 Department of Anatomy
16 Cold Spring Harbor Laboratory
17 NIBR - Novartis Institutes for BioMedical Research
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
Contributor : Clement Jonquet <>
Submitted on : Sunday, December 23, 2018 - 3:31:41 PM
Last modification on : Tuesday, February 11, 2020 - 10:10:35 AM
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LIRMM | CNRS | UGA | AGROPOLIS | CIRAD | OPENDATA | IRD | MIPS | BA | UNIV-MONTPELLIER | FADO

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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, pp.#bay088. ⟨10.1093/database/bay088⟩. ⟨lirmm-01964769⟩

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