The Ontologies Community of Practice: A CGIAR Initiative for Big Data in Agrifood Systems
cg.contribution.worldfishauthor | Muliro, J. | en_US |
cg.contributor.affiliation | CGIAR Research Program on Roots, Tubers and Bananas | en_US |
cg.contributor.affiliation | UK Aid Direct | en_US |
cg.contributor.affiliation | Bioversity International | en_US |
cg.contributor.affiliation | International Food Policy Research Institute | en_US |
cg.contributor.affiliation | Alliance Bioversity International-International Center for Tropical Agriculture | en_US |
cg.contributor.affiliation | Exeter Centre for the Study of the Life Sciences | en_US |
cg.contributor.affiliation | International Rice Research Institute | en_US |
cg.contributor.affiliation | Oregon State University | en_US |
cg.contributor.affiliation | International Maize and Wheat Improvement Center | en_US |
cg.contributor.affiliation | Helmholtz Metadata Collaboration, GEOMAR Helmholtz Centre for Ocean Research | en_US |
cg.contributor.affiliation | Berkeley Lab - Lawrence Berkeley National Laboratory | en_US |
cg.contributor.affiliation | Integrated Breeding Platform | en_US |
cg.contributor.affiliation | International Institute of Tropical Agriculture | en_US |
cg.contributor.affiliation | WorldFish | en_US |
cg.contributor.affiliation | International Potato Center | en_US |
cg.contributor.affiliation | International Crops Research Institute for the Semi-Arid Tropics | en_US |
cg.contributor.affiliation | Africa Rice Center | en_US |
cg.contributor.affiliation | Boyce Thompson Institute | en_US |
cg.contributor.affiliation | Universite´ Paris-Saclay, Institut National de la Recherche pour l’Agriculture, l’Alimentation et l’Environnement | en_US |
cg.contributor.affiliation | Earlham Institute | en_US |
cg.contributor.affiliation | International Center for Tropical Agriculture | en_US |
cg.contributor.affiliation | International Center for Agricultural Research in the Dry Areas | en_US |
cg.contributor.affiliation | World Agroforestry Center | en_US |
cg.contributor.affiliation | The French Agricultural Research Center for International Development | en_US |
cg.contributor.affiliation | University of Minnesota-Twin Cities | en_US |
cg.contributor.affiliation | Syngenta | en_US |
cg.contributor.affiliation | BAYER Crop Science | en_US |
cg.contributor.crp | Fish | en_US |
cg.contributor.crp | Grain Legumes and Dryland Cereals | en_US |
cg.contributor.crp | Big Data | en_US |
cg.contributor.funder | Big Data in Agriculture | en_US |
cg.contributor.project | WorldFish and Fish knowledge and data products | en_US |
cg.coverage.region | Global | en_US |
cg.creator.id | Elizabeth Arnaud: 0000-0002-6020-5919 | en_US |
cg.creator.id | Marie Angelique Laporte: 0000-0002-8461-9745 | en_US |
cg.creator.id | Jacqueline Muliro: 0000-0002-2789-1558 | en_US |
cg.creator.id | Abhishek Rathore: 0000-0001-6887-4095 | en_US |
cg.creator.id | Leroy Mwanzia: 0000-0002-1107-6110 | en_US |
cg.creator.id | Henry Juarez: 0000-0002-8535-7089 | en_US |
cg.creator.id | Enrico Bonaiuti: 0000-0002-4010-4141 | en_US |
cg.creator.id | Obileye Matthew Olatunbosun: 0000-0002-1200-0994 | en_US |
cg.description.theme | Miscellaneous themes | en_US |
cg.identifier.ISIindexed | ISI indexed | en_US |
cg.identifier.status | Open access | en_US |
cg.subject.agrovoc | agriculture | en_US |
cg.subject.agrovoc | agrifood systems | en_US |
cg.subject.agrovoc | ontologies | en_US |
dc.creator | Arnaud, E. | en_US |
dc.creator | Laporte, M. | en_US |
dc.creator | Kim, S. | en_US |
dc.creator | Aubert, C. | en_US |
dc.creator | Leonelli, S. | en_US |
dc.creator | Miro, B. | en_US |
dc.creator | Cooper, L. | en_US |
dc.creator | Jaiswal, P. | en_US |
dc.creator | Kruseman, G. | en_US |
dc.creator | Shrestha, R. | en_US |
dc.creator | Buttigieg, P.L. | en_US |
dc.creator | Mungall, C.J. | en_US |
dc.creator | Petragalla, J. | en_US |
dc.creator | Agbona, A. | en_US |
dc.creator | Muliro, J. | en_US |
dc.creator | Detras, J. | en_US |
dc.creator | Hualla Mamani, V. | en_US |
dc.creator | Rathore, A. | en_US |
dc.creator | Das, R. | en_US |
dc.creator | Dieng, I. | en_US |
dc.creator | Bauchet, G. | en_US |
dc.creator | Menda, N. | en_US |
dc.creator | Pommier, C. | en_US |
dc.creator | Shaw, F. | en_US |
dc.creator | Lyon, D. | en_US |
dc.creator | Mwanzia, L. | en_US |
dc.creator | Juarez, H. | en_US |
dc.creator | Bonaiuti, E. | en_US |
dc.creator | Chiputwa, B. | en_US |
dc.creator | Olatunbosun, O.M. | en_US |
dc.creator | Auzoux, S. | en_US |
dc.creator | Yeumo, E.D. | en_US |
dc.creator | Mueller, L. | en_US |
dc.creator | Silverstein, K. | en_US |
dc.creator | Lafargue, A. | en_US |
dc.creator | Antezana, E. | en_US |
dc.creator | Devare, M. | en_US |
dc.creator | King, B. | en_US |
dc.date.accessioned | 2020-09-29T08:27:20Z | |
dc.date.available | 2020-09-29T08:27:20Z | |
dc.date.issued | 2020 | en_US |
dc.description.abstract | Digital technology use in agriculture and agrifood systems research accelerates the production of multidisciplinary data, which spans genetics, environment, agroecology, biology, and socioeconomics. Quality labeling of data secures its online findability, reusability, interoperability, and reliable interpretation, through controlled vocabularies organized into meaningful and computer-readable knowledge domains called ontologies. There is currently no full set of recommended ontologies for agricultural research, so data scientists, data managers, and database developers struggle to find validated terminology. The Ontologies Community of Practice of the CGIAR Platform for Big Data in Agriculture harnesses international expertise in knowledge representation and ontology development to produce missing ontologies, identifies best practices, and guides data labeling by teams managing multidisciplinary information platforms to release the FAIR data underpinning the evidence of research impact. | en_US |
dc.format | en_US | |
dc.identifier.citation | Elizabeth Arnaud, E. et al. (2020). The Ontologies Community of Practice: A CGIAR Initiative for Big Data in Agrifood Systems. Patterns, 1(7): 100105. | en_US |
dc.identifier.doi | https://dx.doi.org/10.1016/j.patter.2020.100105 | en_US |
dc.identifier.issn | 2666-3899 | en_US |
dc.identifier.uri | https://hdl.handle.net/20.500.12348/4364 | |
dc.language | en | en_US |
dc.publisher | Elsevier | en_US |
dc.rights | CC-BY-NC-ND-4.0 | en_US |
dc.source | Patterns;1,(2020) | en_US |
dc.subject | community of practice | en_US |
dc.subject | big data | en_US |
dc.subject | fair data | en_US |
dc.subject | data annotation | en_US |
dc.subject | semantics for agriculture | en_US |
dc.subject | data labeling | en_US |
dc.subject | knowledge representation | en_US |
dc.title | The Ontologies Community of Practice: A CGIAR Initiative for Big Data in Agrifood Systems | en_US |
dc.type | Journal Article | en_US |
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