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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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Main Authors: Arnaud, Elizabeth, Laporte, Marie-Angélique, Kim, Soonho, Aubert, Céline, Leonelli, Sabina, Miro, Berta, Cooper, Laurel D., 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 J., 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
Format: Journal Article
Language:Inglés
Published: Elsevier 2020
Subjects:
control systems
access to information
information technology
data collection
sistemas de controlo
acceso a la informatión
tecnología de la inforatión
ontology
agriculture
agrifood systems
crop production
breeding
phenotypes
genotypes
ontologies
data
food systems
cgiar
bibliographic information
semantic standards
labelling
knowledge
big data
linked open data
capacity development
Online Access:https://hdl.handle.net/10568/109682

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