CGSpaceA Repository of Agricultural Research Outputs
    View Item 
    •   CGSpace Home
    • Bioversity International
    • Bioversity Journal Articles
    • View Item
       
    • CGSpace Home
    • Bioversity International
    • Bioversity Journal Articles
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Developing data interoperability using standards: A wheat community use case

    Thumbnail
    View/Open
    DzaleYeumo_2017.pdf (1.642Mb)
    Authors
    Dzale-Yeumo, E.
    Alaux, M.
    Arnaud, Elizabeth
    Aubin, S.
    Baumann, U.
    Buche, P.
    Cooper, L.
    Cwiek-Kupczynska, H.
    Davey, R.P.
    Fulss, R.A.
    Jonquet, C.
    Laporte, Marie-Angélique
    Larmande, Pierre
    Pommier, C.
    Protonotarios, V.
    Reverte, C.
    Shrestha, R.
    Subirats, I.
    Venkatesan, A.
    Whan, A.
    Quesneville, H.
    Date Issued
    2017
    Date Online
    2017-12
    Language
    en
    Type
    Journal Article
    Review status
    Peer Review
    Accessibility
    Open Access
    Usage rights
    CC-BY-4.0
    Metadata
    Show full item record
    Share
    
    Citation
    Dzale Yeumo, E.; Alaux, M.; Arnaud, E.; Aubin, S.; Baumann, U.; Buche, P.; Cooper, L.; Cwiek-Kupczynska, H.; Davey, R.P.; Fulss, R.A.; Jonquet, C.; Laporte, M-A.; Larmande, P.; Pommier, C.; Protonotarios, V.; Reverte, C.; Shrestha, R.; Subirats, I.; Venkatesan, A.; Whan, A.; Quesneville, H. (2017) Developing data interoperability using standards: A wheat community use case. [version 2; referees: 2 approved]. F1000Research 6:1843
    Permanent link to cite or share this item: https://hdl.handle.net/10568/89854
    DOI: https://doi.org/10.12688/f1000research.12234.2
    Abstract/Description
    In this article, we present a joint effort of the wheat research community, along with data and ontology experts, to develop wheat data interoperability guidelines. Interoperability is the ability of two or more systems and devices to cooperate and exchange data, and interpret that shared information. Interoperability is a growing concern to the wheat scientific community, and agriculture in general, as the need to interpret the deluge of data obtained through high-throughput technologies grows. Agreeing on common data formats, metadata, and vocabulary standards is an important step to obtain the required data interoperability level in order to add value by encouraging data sharing, and subsequently facilitate the extraction of new information from existing and new datasets. During a period of more than 18 months, the RDA Wheat Data Interoperability Working Group (WDI-WG) surveyed the wheat research community about the use of data standards, then discussed and selected a set of recommendations based on consensual criteria. The recommendations promote standards for data types identified by the wheat research community as the most important for the coming years: nucleotide sequence variants, genome annotations, phenotypes, germplasm data, gene expression experiments, and physical maps. For each of these data types, the guidelines recommend best practices in terms of use of data formats, metadata standards and ontologies. In addition to the best practices, the guidelines provide examples of tools and implementations that are likely to facilitate the adoption of the recommendations. To maximize the adoption of the recommendations, the WDI-WG used a community-driven approach that involved the wheat research community from the start, took into account their needs and practices, and provided them with a framework to keep the recommendations up to date. We also report this approach’s potential to be generalizable to other (agricultural) domains.
    CGIAR Author ORCID iDs
    Elizabeth Arnaudhttps://orcid.org/0000-0002-6020-5919
    Other CGIAR Affiliations
    Big Data
    AGROVOC Keywords
    ontology; standards; terminology; knowledge organization system; data; wheat
    Subjects
    ONTOLOGY; STANDARDS; KNOWLEDGE ORGANIZATION SYSTEM; data;
    Organizations Affiliated to the Authors
    Institut National de la Recherche Agronomique, France; Bioversity International; University of Adelaide; Institut National de la Recherche Scientifique (France); Oregon State University; Polish Academy of Sciences; Earlham Institute; International Maize and Wheat Improvement Center; Stanford University; Université de Montpellier; Institut de Recherche pour le Développement, France; NEUROPUBLIC S.A; Institut de Recerca i Tecnologia Agroalimentaries (Spain); Food and Agriculture Organization of the United Nations; Commonwealth Scientific and Industrial Research Organisation, Australia
    Collections
    • Bioversity Journal Articles [1060]
    • CGIAR BigData Articles in Refereed Journals [16]
    • Effective Genetic Resources Conservation and Use [446]

    Show Statistical Information


    AboutPrivacy StatementSend Feedback
     

    My Account

    LoginRegister

    Browse

    All of CGSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesBy AGROVOC keywordBy ILRI subjectBy RegionBy CountryBy SubregionBy River basinBy Output typeBy CIP subjectBy CGIAR System subjectBy Alliance Bioversity–CIAT subjectThis CollectionBy Issue DateAuthorsTitlesBy AGROVOC keywordBy ILRI subjectBy RegionBy CountryBy SubregionBy River basinBy Output typeBy CIP subjectBy CGIAR System subjectBy Alliance Bioversity–CIAT subject

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    AboutPrivacy StatementSend Feedback