The ontologies community of practice: a CGIAR initiative for Big Data in agrifood systems
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Elsevier
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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.
Palabras clave
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