http://oar.icrisat.org/id/eprint/11741 2021-03-14T10:36:11Z info:eu-repo/semantics/descriptiveMetadata http://oar.icrisat.org/11741/ The Ontologies Community of Practice: A CGIAR Initiative for Big Data in Agrifood Systems Arnaud, E Laporte, M A 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 Data & Analytics The increasing application to agrifood research data of the FAIR (findable, accessible, interoperable, and reusable) principles1 has led to the research community’s growing interest in using ontologies. FAIR principles indeed recommend that data must be described with commonly used, controlled vocabularies structured in thesauri and semantically rich ontologies. An ontology is a representation of a domain of knowledge where key concepts, as well as the relationships between those concepts, are defined.2 By providing standardized definitions for the terms used by scientists along with defined logical relationships among these terms, ontologies compile information about the content of a dataset that can be explicitly used by computers.3 Each concept has a Uniform Resource Identifier (URI) that uniquely identifies it as a web resource accessible by anyone for data labeling, to efficiently support consistent use of ontology terms within and across disciplines and domains. Therefore, annotating data with quality and widely used ontologies increases the findability, interoperability, and reusability of data. World Scientific Publishers 2020-10 Article PeerReviewed application/pdf en http://oar.icrisat.org/11741/1/main.pdf Arnaud, E and Laporte, M A and Kim, S and Aubert, C and Leonelli, S and Miro, B and Cooper, L and Jaiswal, P and Kruseman, G and Shrestha, R and Buttigieg, P L and Mungall, C J and Pietragalla, J and Agbona, A and Muliro, J and Detras, J and Hualla, V and Rathore, A and Das, R R and Dieng, I and Bauchet, G and Menda, N and Pommier, C and Shaw, F and Lyon, D and Mwanzia, L and Juarez, H and Bonaiuti, E and Chiputwa, B and Obileye, O and Auzoux, S and Yeumo, E D and Mueller, L A and Silverstein, K and Lafargue, A and Antezana, E and Devare, M and King, B (2020) The Ontologies Community of Practice: A CGIAR Initiative for Big Data in Agrifood Systems. Patterns, 1 (7). p. 100105. ISSN 2666-3899 https://doi.org/10.1016/j.patter.2020.100105 doi:10.1016/j.patter.2020.100105 info:eu-repo/semantics/objectFile info:eu-repo/semantics/humanStartPage