The ontologies community of practice: a CGIAR initiative for Big Data in agrifood systems
cg.authorship.types | CGIAR and advanced research institute | en |
cg.contributor.affiliation | Bioversity International and the International Center for Tropical Agriculture | en |
cg.contributor.affiliation | International Food Policy Research Institute | en |
cg.contributor.affiliation | University of Exeter | en |
cg.contributor.affiliation | Oregon State University | en |
cg.contributor.affiliation | International Maize and Wheat Improvement Center | en |
cg.contributor.affiliation | GEOMAR Helmholtz Centre for Ocean Research, Germany | en |
cg.contributor.affiliation | Lawrence Berkeley National Laboratory | en |
cg.contributor.affiliation | Integrated Breeding Platform | en |
cg.contributor.affiliation | International Institute of Tropical Agriculture | en |
cg.contributor.affiliation | WorldFish | en |
cg.contributor.affiliation | International Rice Research Institute | en |
cg.contributor.affiliation | International Potato Center | en |
cg.contributor.affiliation | International Crops Research Institute for the Semi-Arid Tropics | en |
cg.contributor.affiliation | Boyce Thompson Institute for Plant Research | en |
cg.contributor.affiliation | Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement, France | en |
cg.contributor.affiliation | Earlham Institute | en |
cg.contributor.affiliation | International Center for Agricultural Research in the Dry Areas | en |
cg.contributor.affiliation | World Agroforestry Centre | en |
cg.contributor.affiliation | Centre de Coopération Internationale en Recherche Agronomique Pour le Développement | en |
cg.contributor.affiliation | University of Minnesota | en |
cg.contributor.affiliation | Syngenta | en |
cg.contributor.affiliation | Bayer Crop Science | en |
cg.contributor.affiliation | Norwegian University of Science and Technology | en |
cg.contributor.crp | Roots, Tubers and Bananas | |
cg.contributor.crp | Maize | |
cg.contributor.crp | Big Data | |
cg.contributor.crp | Rice | |
cg.contributor.crp | Wheat | |
cg.contributor.crp | Dryland Systems | |
cg.contributor.crp | Grain Legumes | |
cg.contributor.donor | Department for International Development, United Kingdom | en |
cg.contributor.donor | National Science Foundation, United States | en |
cg.contributor.donor | Frontiers in Arctic Marine Monitoring | en |
cg.contributor.donor | Biotechnology and Biological Sciences Research Council, United Kingdom | en |
cg.contributor.donor | Alan Turing Institute | en |
cg.contributor.donor | European Union | en |
cg.creator.identifier | Elizabeth Arnaud: 0000-0002-6020-5919 | |
cg.creator.identifier | Marie-Angélique Laporte: 0000-0002-8461-9745 | |
cg.creator.identifier | Leroy Mwanzia: 0000-0002-1107-6110 | |
cg.creator.identifier | Brian King: 0000-0002-7056-9214 | |
cg.creator.identifier | Celine Aubert: 0000-0001-6284-4821 | |
cg.creator.identifier | Medha Devare: 0000-0003-0041-4812 | |
cg.howPublished | Formally Published | en |
cg.identifier.doi | https://doi.org/10.1016/j.patter.2020.100105 | en |
cg.identifier.project | IFPRI - Markets, Trade, and Institutions Division | |
cg.identifier.project | IFPRI - United Nations Food Systems Summit (UNFSS) | |
cg.identifier.publicationRank | Not ranked | |
cg.issn | 2666-3899 | en |
cg.issue | 7 | en |
cg.journal | Patterns | en |
cg.reviewStatus | Peer Review | en |
cg.subject.alliancebiovciat | DOCUMENTATION | en |
cg.subject.alliancebiovciat | INFORMATION SYSTEMS | en |
cg.subject.alliancebiovciat | KNOWLEDGE MANAGEMENT | en |
cg.subject.iita | AGRONOMY | en |
cg.subject.iita | KNOWLEDGE MANAGEMENT | en |
cg.subject.iita | PLANT BREEDING | en |
cg.subject.iita | PLANT PRODUCTION | en |
cg.volume | 1 | en |
dc.contributor.author | Arnaud, Elizabeth | en |
dc.contributor.author | Laporte, Marie-Angélique | en |
dc.contributor.author | Kim, Soonho | en |
dc.contributor.author | Aubert, Céline | en |
dc.contributor.author | Leonelli, Sabina | en |
dc.contributor.author | Miro, Berta | en |
dc.contributor.author | Cooper, Laurel D. | en |
dc.contributor.author | Jaiswal, Pankaj | en |
dc.contributor.author | Kruseman, Gideon K. | en |
dc.contributor.author | Shrestha, Rosemary | en |
dc.contributor.author | Buttigieg, Pier Luigi | en |
dc.contributor.author | Mungall, Christopher J. | en |
dc.contributor.author | Pietragalla, Julian | en |
dc.contributor.author | Agbona, Afolabi | en |
dc.contributor.author | Muliro, Jacqueline | en |
dc.contributor.author | Detras, Jeffrey | en |
dc.contributor.author | Hualla, Vilma | en |
dc.contributor.author | Rathore, Abhishek | en |
dc.contributor.author | Das, Roma Rani | en |
dc.contributor.author | Dieng, Ibnou | en |
dc.contributor.author | Bauchet, Guillaume J. | en |
dc.contributor.author | Menda, Naama | en |
dc.contributor.author | Pommier, Cyril | en |
dc.contributor.author | Shaw, Felix | en |
dc.contributor.author | Lyon, David | en |
dc.contributor.author | Mwanzia, Leroy | en |
dc.contributor.author | Juarez, Henry | en |
dc.contributor.author | Bonaiuti, Enrico | en |
dc.contributor.author | Chiputwa, Brian | en |
dc.contributor.author | Obileye, Olatunbosun | en |
dc.contributor.author | Auzoux, Sandrine | en |
dc.contributor.author | Yeumo, Esther Dzalé | en |
dc.contributor.author | Mueller, Lukas A. | en |
dc.contributor.author | Silverstein, Kevin | en |
dc.contributor.author | Lafargue, Alexandra | en |
dc.contributor.author | Antezana, Erick | en |
dc.contributor.author | Devare, Medha | en |
dc.contributor.author | King, Brian | en |
dc.date.accessioned | 2020-09-29T09:00:06Z | en |
dc.date.available | 2020-09-29T09:00:06Z | en |
dc.identifier.uri | https://hdl.handle.net/10568/109682 | |
dc.title | The ontologies community of practice: a CGIAR initiative for Big Data in agrifood systems | en |
dcterms.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. | en |
dcterms.accessRights | Open Access | |
dcterms.audience | Scientists | en |
dcterms.available | 2020-09-25 | |
dcterms.bibliographicCitation | Arnaud, 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 | en |
dcterms.extent | 12 p. | en |
dcterms.issued | 2020-10-09 | |
dcterms.language | en | |
dcterms.license | CC-BY-NC-ND-4.0 | |
dcterms.publisher | Elsevier | en |
dcterms.relation | https://hdl.handle.net/10568/105714 | en |
dcterms.replaces | https://hdl.handle.net/10568/113392 | en |
dcterms.replaces | https://ebrary.ifpri.org/digital/collection/p15738coll5/id/7429 | en |
dcterms.subject | control systems | en |
dcterms.subject | access to information | en |
dcterms.subject | information technology | en |
dcterms.subject | data collection | en |
dcterms.subject | sistemas de controlo | en |
dcterms.subject | acceso a la informatión | en |
dcterms.subject | tecnología de la inforatión | en |
dcterms.subject | ontology | en |
dcterms.subject | agriculture | en |
dcterms.subject | agrifood systems | en |
dcterms.subject | crop production | en |
dcterms.subject | breeding | en |
dcterms.subject | phenotypes | en |
dcterms.subject | genotypes | en |
dcterms.subject | ontologies | en |
dcterms.subject | data | en |
dcterms.subject | food systems | en |
dcterms.subject | cgiar | en |
dcterms.subject | bibliographic information | en |
dcterms.subject | semantic standards | en |
dcterms.subject | labelling | en |
dcterms.subject | knowledge | en |
dcterms.subject | big data | en |
dcterms.subject | linked open data | en |
dcterms.subject | capacity development | en |
dcterms.type | Journal Article |