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Journal Articles Database -Weston- Year : 2018

AgBioData consortium recommendations for sustainable genomics and genetics databases for agriculture

Lisa Harper
  • Function : Author
Jacqueline Campbell
  • Function : Author
Ethalinda K S Cannon
  • Function : Author
Monica Poelchau
  • Function : Author
  • PersonId : 970999
Ramona Walls
  • Function : Author
Carson Andorf
  • Function : Author
Elizabeth Arnaud
Tanya Z Berardini
  • Function : Author
Clayton Birkett
  • Function : Author
Steve Cannon
  • Function : Author
James Carson
  • Function : Author
Bradford Condon
  • Function : Author
Nathan Dunn
  • Function : Author
Christine G Elsik
  • Function : Author
  • PersonId : 970989
Andrew Farmer
  • Function : Author
Stephen P Ficklin
  • Function : Author
Jodi Hu
  • Function : Author
Emily Grau
  • Function : Author
Nic Herndon
  • Function : Author
Jodi Humann
  • Function : Author
Gerard Lazo
  • Function : Author
Fiona Mccarthy
  • Function : Author
Naama Menda
  • Function : Author
Christopher J Mungall
  • Function : Author
Sushma Naithani
  • Function : Author
Rex Nelson
  • Function : Author
Daureen Nesdill
  • Function : Author
Carissa Park
  • Function : Author
Leonore Reiser
  • Function : Author
Lacey-Anne Sanderson
  • Function : Author
Taner Z Sen
  • Function : Author
Sabarinath Subramaniam
  • Function : Author
Marcela Karey Tello-Ruiz
  • Function : Author
Victor Unda
  • Function : Author
Deepak Unni
  • Function : Author
Liya Wang
  • Function : Author
  • PersonId : 922365
Jill Wegrzyn
  • Function : Author
Jason Williams
  • Function : Author
Margaret Woodhouse
  • Function : Author
Doreen Main
  • Function : Author

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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lirmm-01964769 , version 1 (23-12-2018)

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Lisa Harper, Jacqueline Campbell, Ethalinda K S Cannon, Sook Jung, Monica Poelchau, et al.. AgBioData consortium recommendations for sustainable genomics and genetics databases for agriculture. Database -Weston-, 2018, 2018, pp.#bay088. ⟨10.1093/database/bay088⟩. ⟨lirmm-01964769⟩
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