The ontologies community of practice: a CGIAR initiative for Big Data in agrifood systems
- Arnaud, Elizabeth
- Laporte, Marie-Angélique
- Kim, Soonho
- Aubert, Céline
- Leonelli, Sabina
- Miro, Berta
- Cooper, Laurel
- Jaiswal, Pankaj
- Kruseman, Gideon K.
- Shrestha, Rosemary
- Buttigieg, Pier Luigi
- Mungall, Christopher J.
- Pietragalla, Julian
- Agbona, Afolabi
- Muliro, Jacqueline
- Detras, Jeffrey
- Hualla, Vilma
- Rathore, Abhishek
- Das, Roma Rani
- Dieng, Ibnou
- Bauchet, Guillaume
- Menda, Naama
- Pommier, Cyril
- Shaw, Felix
- Lyon, David
- Mwanzia, Leroy
- Juarez, Henry
- Bonaiuti, Enrico
- Chiputwa, Brian
- Obileye, Olatunbosun
- Auzoux, Sandrine
- Yeumo, Esther Dzalé
- Mueller, Lukas A.
- Silverstein, Kevin
- Lafargue, Alexandra
- Antezana, Erick
- Devare, Medha
- King, Brian
DOIAbstract
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 exper...
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