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AgBioData consortium recommendations for sustainable genomics and genetics databases for agriculture

Authors :
Christopher J. Mungall
Ethalinda K. S. Cannon
Rex T. Nelson
Pankaj Jaiswal
Daureen Nesdill
Marie-Angélique Laporte
Steven B. Cannon
Margaret R. Woodhouse
James P. Carson
David Grant
Margaret Staton
Jacqueline D. Campbell
Marcela K. Tello-Ruiz
Ramona Walls
Carson M. Andorf
Monica Munoz-Torres
Laurel Cooper
Jill L. Wegrzyn
Victor P. Unda
Sabarinath Subramaniam
Stephen P. Ficklin
Sook Jung
Pierre Larmande
James M. Reecy
Christine G. Elsik
Tanya Z. Berardini
Nathan Dunn
Fiona M. McCarthy
Monica F. Poelchau
Liya Wang
Elizabeth Arnaud
Clement Jonquet
Jodi L. Humann
Nic Herndon
Doreen Ware
Deepak Unni
Emily S. Grau
Leonore Reiser
Clayton Birkett
Doreen Main
Taner Z. Sen
Zhi-Liang Hu
Jing Yu
Gerard R. Lazo
Jason Williams
Carissa A. Park
Bradford Condon
Lacey-Anne Sanderson
Lisa C. Harper
Naama Menda
Andrew Farmer
Sushma Naithani
Dept Hort & Landscape Architecture
Washington State University (WSU)
Georgetown University [Washington] (GU)
Department of Botany and Plant Pathology
Oregon State University (OSU)
University of Missouri [Columbia] (Mizzou)
University of Missouri System
Energy and Sustainability Research Division
University of Nottingham, UK (UON)
Department of Animal Science and Center for Integrated Animal Genomics
Iowa State University (ISU)
Plastes et différenciation cellulaire (PDC)
Université Joseph Fourier - Grenoble 1 (UJF)-Centre National de la Recherche Scientifique (CNRS)
WEB-CUBE
Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM)
Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)
Stanford School of Medicine [Stanford]
Stanford Medicine
Stanford University-Stanford University
German Centre for Integrative Biodiversity Research
Diversité, adaptation, développement des plantes (UMR DIADE)
Institut de Recherche pour le Développement (IRD [France-Sud])-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)
Lawrence Berkeley National Laboratory [Berkeley] (LBNL)
Department of Animal Science
Department of Entomology and Plant Pathology
The University of Tennessee [Knoxville]
Department of Anatomy
Cold Spring Harbor Laboratory
Novartis Institutes for BioMedical Research (NIBR)
WEB Architecture x Semantic WEB x WEB of Data (WEB3)
Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)
Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])
Source :
Database : the journal of biological databases and curation, vol 2018, iss 2018, Harper, L; Campbell, J; Cannon, EKS; Jung, S; Poelchau, M; Walls, R; et al.(2018). AgBioData consortium recommendations for sustainable genomics and genetics databases for agriculture. Database, 2018(2018). doi: 10.1093/database/bay088. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/1g85955j, Database-Weston, Database-Weston-, Online Inc., 2018, 2018, pp.#bay088. ⟨10.1093/database/bay088⟩, Database-Weston-, 2018, 2018, pp.#bay088. ⟨10.1093/database/bay088⟩
Publication Year :
2018
Publisher :
eScholarship, University of California, 2018.

Abstract

© The Author(s) 2018. Published by Oxford University Press. 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.

Details

ISSN :
01624105
Database :
OpenAIRE
Journal :
Database : the journal of biological databases and curation, vol 2018, iss 2018, Harper, L; Campbell, J; Cannon, EKS; Jung, S; Poelchau, M; Walls, R; et al.(2018). AgBioData consortium recommendations for sustainable genomics and genetics databases for agriculture. Database, 2018(2018). doi: 10.1093/database/bay088. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/1g85955j, Database-Weston, Database-Weston-, Online Inc., 2018, 2018, pp.#bay088. ⟨10.1093/database/bay088⟩, Database-Weston-, 2018, 2018, pp.#bay088. ⟨10.1093/database/bay088⟩
Accession number :
edsair.doi.dedup.....f08dbfdbf88436e21230f13ab6584c5e
Full Text :
https://doi.org/10.1093/database/bay088.