@article{81, author = {Elizabeth Arnaud and Marie-Angélique Laporte and Soonho Kim and Céline Aubert and Sabina Leonelli and Berta Miro and Laurel Cooper and Pankaj Jaiswal and Gideon Kruseman and Rosemary Shrestha and Pier Buttigieg and Christopher Mungall and Julian Pietragalla and Afolabi Agbona and Jacqueline Muliro and Jeffrey Detras and Vilma Hualla and Abhishek Rathore and Roma Das and Ibnou Dieng and Guillaume Bauchet and Naama Menda and Cyril Pommier and Felix Shaw and David Lyon and Leroy Mwanzia and Henry Juarez and Enrico Bonaiuti and Brian Chiputwa and Olatunbosun Obileye and Sandrine Auzoux and Esther Yeumo and Lukas Mueller and Kevin Silverstein and Alexandra Lafargue and Erick Antezana and Medha Devare and Brian King}, title = {The Ontologies Community of Practice: A CGIAR Initiative for Big Data in Agrifood Systems.}, abstract = {

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.

}, year = {2020}, journal = {Patterns (N Y)}, volume = {1}, pages = {100105}, month = {2020 Oct 09}, issn = {2666-3899}, doi = {10.1016/j.patter.2020.100105}, language = {eng}, }