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

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 onto...

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Detalhes bibliográficos
Autores: Arnaud, E., Laporte, M.A., Soonho Kim, Aubert, C., Leonelli, S., Miro, B., Cooper, L., Jaiswal, P., Kruseman, G., Shrestha, R., Buttigieg, P.L., Mungall, C., Pietragalla, J., Agbona, A., Muliro, J., Detras, J., Hualla, V., Abhishek Rathore, Das, R.R., Dieng, I., Bauchet, G.J., Menda, N., Pommier, C., Shaw, F., Lyon, D.A., Mwanzia, L., Juarez, H., Bonaiuti, E., Chiputwa, B., Obileye, O., Auzoux, S., Dzale Yeumo, E., Mueller, L.A., Silverstein, K., Lafargue, A., Antezana, E., Devare, M., King, B.
Tipo de documento: artigo
Estado:Versão publicada
Data de publicação:2020
País:México
Recursos:Centro Internacional de Mejoramiento de Maíz y Trigo
Repositório:Repositorio Institucional de Publicaciones Multimedia del CIMMYT
OAI Identifier:oai:repository.cimmyt.org:10883/20962
Acesso em linha:https://hdl.handle.net/10883/20962
Access Level:Acceso aberto
Palavra-chave:AGRICULTURAL SCIENCES AND BIOTECHNOLOGY
DATA
AGRICULTURAL RESEARCH
ONTOLOGY
AGRIFOOD SYSTEMS
Descrição
Resumo: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.

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