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The Ontologies Community of Practice: a CGIAR initiative for big data in agrifood systems

Creator: Arnaud, E.
Creator: Laporte, M.A.
Creator: Soonho Kim
Creator: Aubert, C.
Creator: Leonelli, S.
Creator: Miro, B.
Creator: Cooper, L.
Creator: Jaiswal, P.
Creator: Kruseman, G.
Creator: Shrestha, R.
Creator: Buttigieg, P.L.
Creator: Mungall, C.J.
Creator: Pietragalla, J.
Creator: Agbona, A.
Creator: Muliro, J.
Creator: Detras, J.
Creator: Hualla, V.
Creator: Abhishek Rathore
Creator: Das, R.R.
Creator: Dieng, I.
Creator: Bauchet, G.J.
Creator: Menda, N.
Creator: Pommier, Cyril
Creator: Shaw, F.
Creator: Lyon, D.
Creator: Mwanzia, L.
Creator: Juarez, H.
Creator: Bonaiuti, E.
Creator: Chiputwa, B.
Creator: Obileye, O.
Creator: Auzoux, S.
Creator: Dzale Yeumo, E.
Creator: Mueller, L.A.
Creator: Silverstein, K.
Creator: Lafargue, A.
Creator: Antezana, E.
Creator: Devare, M.
Creator: King, B.
Year: 2020
Format: PDF
Language: English
Publisher: Cell Press
Copyright: CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose
Type: Article
Place of Publication: Cambridge, MA (USA)
Issue: 7
Volume: 1
DOI: 10.1016/j.patter.2020.100105
Description: Heterogeneous and multidisciplinary data generated by research on sustainable global agriculture and agrifood systems requires quality data labeling or annotation in order to be interoperable. As recommended by the FAIR principles, data, labels, and metadata must use controlled vocabularies and ontologies that are popular in the knowledge domain and commonly used by the community. Despite the existence of robust ontologies in the Life Sciences, there is currently no comprehensive full set of ontologies recommended for data annotation across agricultural research disciplines. In this paper, we discuss the added value of the Ontologies Community of Practice (CoP) of the CGIAR Platform for Big Data in Agriculture for harnessing relevant expertise in ontology development and identifying innovative solutions that support quality data annotation. The Ontologies CoP stimulates knowledge sharing among stakeholders, such as researchers, data managers, domain experts, experts in ontology design, and platform development teams.
Agrovoc: DATA
ISSN: 2666-3899
Journal: Patterns
Article number: 100105

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  • Genetic Resources
    Genetic Resources including germplasm collections, wild relatives, genotyping, genomics, and IP
  • Socioeconomics
    Including topics such as farming systems, markets, impact & targeting, innovations, and GIS

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