The ontologies community of practice: a CGIAR initiative for Big Data in agrifood systems

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dc.creatorArnaud, Elizabeth
dc.creatorLaporte, Marie-Angélique
dc.creatorKim, Soonho
dc.creatorAubert, Céline
dc.creatorLeonelli, Sabina
dc.creatorMiro, Berta
dc.creatorCooper, Laurel D.
dc.creatorJaiswal, Pankaj
dc.creatorKruseman, Gideon K.
dc.creatorShrestha, Rosemary
dc.creatorButtigieg, Pier Luigi
dc.creatorMungall, Christopher J.
dc.creatorPietragalla, Julian
dc.creatorAgbona, Afolabi
dc.creatorMuliro, Jacqueline
dc.creatorDetras, Jeffrey
dc.creatorHualla, Vilma
dc.creatorRathore, Abhishek
dc.creatorDas, Roma Rani
dc.creatorDieng, Ibnou
dc.creatorBauchet, Guillaume J.
dc.creatorMenda, Naama
dc.creatorPommier, Cyril
dc.creatorShaw, Felix
dc.creatorLyon, David
dc.creatorMwanzia, Leroy
dc.creatorJuarez, Henry
dc.creatorBonaiuti, Enrico
dc.creatorChiputwa, Brian
dc.creatorObileye, Olatunbosun
dc.creatorAuzoux, Sandrine
dc.creatorYeumo, Esther Dzalé
dc.creatorMueller, Lukas A.
dc.creatorSilverstein, Kevin
dc.creatorLafargue, Alexandra
dc.creatorAntezana, Erick
dc.creatorDevare, Medha
dc.creatorKing, Brian
dc.date2020-10-09
dc.date2020-09-29T09:00:06Z
dc.date2020-09-29T09:00:06Z
dc.date.accessioned2026-06-27T13:35:15Z
dc.descriptionHeterogeneous 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.
dc.formatapplication/pdf
dc.identifierhttps://hdl.handle.net/10568/109682
dc.identifier.urihttp://hdl.handle.net/123456789/64072
dc.languageen
dc.publisherElsevier
dc.relationhttps://hdl.handle.net/10568/105714
dc.rightsOpen Access
dc.sourceArnaud, E.; Laporte, M.-An.; Kim, S.; Aubert, C.; Leonelli, S.; Miro, B.; Cooper, L.; Jaiswal, P.; Kruseman, G.; Shrestha, R.; Buttigieg, P.L.; Mungall, C.J.; Pietragalla, J.; Agbona, A.; Muliro, J.; Detras, J.; Hualla, V.; Rathore, A.; Das, R.R.; Dieng, I.; Bauchet, G.; Menda, N.; Pommier, C.; Shaw, F.; Lyon, D.; Mwanzia, L.; Juarez, H.; Bonaiuti, E.; Chiputwa, B.; Obileye, O.; Auzoux, S.; Yeumo, E.D.; Mueller, L.A.; Silverstein, K.; Lafargue, A.; Antezana, E.; Devare, M.; King, B. The ontologies community of practice: a CGIAR initiative for Big Data in agrifood systems. Patterns 1:100105. 12 p. ISSN: 2666-3899
dc.subjectcontrol systems
dc.subjectaccess to information
dc.subjectinformation technology
dc.subjectdata collection
dc.subjectsistemas de controlo
dc.subjectacceso a la informatión
dc.subjecttecnología de la inforatión
dc.subjectontology
dc.subjectagriculture
dc.subjectagrifood systems
dc.subjectcrop production
dc.subjectbreeding
dc.subjectphenotypes
dc.subjectgenotypes
dc.subjectontologies
dc.subjectdata
dc.subjectfood systems
dc.subjectcgiar
dc.subjectbibliographic information
dc.subjectsemantic standards
dc.subjectlabelling
dc.subjectknowledge
dc.subjectbig data
dc.subjectlinked open data
dc.subjectcapacity development
dc.titleThe ontologies community of practice: a CGIAR initiative for Big Data in agrifood systems
dc.typeJournal Article

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