Heterogeneous and multidisciplinary data generated by research on sustainable global agriculture and agrifood systems requires quality data labelling 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 agreed full set of ontologies recommended for data annotation across agricultural research disciplines, which may span genetics, environment, agroecology, biology and socioeconomics. 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 ontology expertise. This CoP aims to stimulate knowledge sharing and directly support platform development teams by producing ontologies or contributing missing concepts, recommending best practices and identifying mitigation solutions when gold standard datasets are difficult to attain.
Keywords: Ontologies in Agriculture, Sustainable Agriculture, Big Data, FAIR Data, data integration, Semantics for Agriculture
Arnaud, Elizabeth and Laporte, Marie-Angélique and Kim, Soonho and Aubert, Céline and Leonelli, Sabina and Cooper, Laurel and Jaiswal, Pankaj and Kruseman, Gideon and Shrestha, Rosemary and Buttigieg, Pier Luigi and Mungall, Christopher J. and Pietragalla, Julian and Agbona, Afolabi and Muliro, Jacqueline and Detras, Jeffrey and Hualla, Vilma and Rathore, Abhishek and Das, Roma and Dieng, Ibnou and Bauchet, Guillaume and Menda, Naama and Pommier, Cyril and Shaw, Felix and Lyon, David and Mwanzia, Leroy and Juarez, Henry and Bonaiuti, Enrico and chiputwa, brian and Obileye, Olatunbosun and Auzoux, Sandrine and Dzalé Yeumo, Esther and Mueller, Lukas and Silverstein, Kevin and Lafargue, Alexandra and Antezana, Erick and Devare, Medha and King, Brian, The Ontologies Community of Practice: An Initiative by the CGIAR Platform for Big Data in Agriculture. Available at SSRN: https://ssrn.com/abstract=3565982 or http://dx.doi.org/10.2139/ssrn.3565982
This version of the paper has not been formally peer reviewed.
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