02547nas a2200589   4500000000100000000000100001008004100002260001600043100002100059700002900080700001500109700001900124700002000143700001500163700001800178700001900196700002000215700002200235700001900257700002400276700002300300700001900323700002200342700001900364700001700383700002100400700001300421700001600434700002200450700001600472700001800488700001500506700001500521700001800536700001700554700002000571700001900591700002400610700002000634700001700654700001800671700002200689700002300711700001900734700001700753700001500770245009500785300001100880490000600891520104600897022001401943       2020                            d  c2020 Oct 091 aElizabeth Arnaud1 aMarie-Angélique Laporte1 aSoonho Kim1 aCéline Aubert1 aSabina Leonelli1 aBerta Miro1 aLaurel Cooper1 aPankaj Jaiswal1 aGideon Kruseman1 aRosemary Shrestha1 aPier Buttigieg1 aChristopher Mungall1 aJulian Pietragalla1 aAfolabi Agbona1 aJacqueline Muliro1 aJeffrey Detras1 aVilma Hualla1 aAbhishek Rathore1 aRoma Das1 aIbnou Dieng1 aGuillaume Bauchet1 aNaama Menda1 aCyril Pommier1 aFelix Shaw1 aDavid Lyon1 aLeroy Mwanzia1 aHenry Juarez1 aEnrico Bonaiuti1 aBrian Chiputwa1 aOlatunbosun Obileye1 aSandrine Auzoux1 aEsther Yeumo1 aLukas Mueller1 aKevin Silverstein1 aAlexandra Lafargue1 aErick Antezana1 aMedha Devare1 aBrian King00aThe Ontologies Community of Practice: A CGIAR Initiative for Big Data in Agrifood Systems.  a1001050 v13 a<p>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.</p>
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