Your browser doesn't support javascript.
loading
The Ontologies Community of Practice: A CGIAR Initiative for Big Data in Agrifood Systems.
Arnaud, Elizabeth; Laporte, Marie-Angélique; Kim, Soonho; Aubert, Céline; Leonelli, Sabina; Miro, Berta; Cooper, Laurel; Jaiswal, Pankaj; Kruseman, Gideon; Shrestha, Rosemary; Buttigieg, Pier Luigi; Mungall, Christopher J; Pietragalla, Julian; Agbona, Afolabi; Muliro, Jacqueline; Detras, Jeffrey; Hualla, Vilma; Rathore, Abhishek; Das, Roma Rani; Dieng, Ibnou; Bauchet, Guillaume; Menda, Naama; Pommier, Cyril; Shaw, Felix; Lyon, David; Mwanzia, Leroy; Juarez, Henry; Bonaiuti, Enrico; Chiputwa, Brian; Obileye, Olatunbosun; Auzoux, Sandrine; Yeumo, Esther Dzalé; Mueller, Lukas A; Silverstein, Kevin; Lafargue, Alexandra; Antezana, Erick; Devare, Medha; King, Brian.
Affiliation
  • Arnaud E; Digital Solutions Team, Digital Inclusion Lever, Bioversity International, Montpellier Office, Montpellier, France.
  • Laporte MA; Digital Solutions Team, Digital Inclusion Lever, Bioversity International, Montpellier Office, Montpellier, France.
  • Kim S; Markets, Trade and Institutions Division (MTID), International Food Policy Research Institute (IFPRI), Washington, DC, USA.
  • Aubert C; Environment and Production Technology Division (EPTD), International Food Policy Research Institute (IFPRI), Washington, DC, USA.
  • Leonelli S; Department of Sociology, Philosophy and Anthropology & Exeter Centre for the Study of the Life Sciences (Egenis), University of Exeter, Exeter, UK.
  • Miro B; Agrifood Policy Platform, International Rice Research Institute (IRRI), Los Baños, Laguna, Philippines.
  • Cooper L; Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR, USA.
  • Jaiswal P; Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR, USA.
  • Kruseman G; Socio-Economics Program, International Maize and Wheat Improvement Center (CIMMYT), Texcoco, State of México, Mexico.
  • Shrestha R; Genetic Resources Program, International Maize and Wheat Improvement Center (CIMMYT), Texcoco, State of México, México.
  • Buttigieg PL; Helmholtz Metadata Collaboration, GEOMAR Helmholtz Centre for Ocean Research, Kiel, Germany.
  • Mungall CJ; Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
  • Pietragalla J; Integrated Breeding Platform, Texcoco, State of México, Mexico.
  • Agbona A; Cassava Breeding Program, International Institute of Tropical Agriculture (IITA), Ibadan, Nigeria.
  • Muliro J; Aquaculture and Fisheries Sciences, Worldfish, Penang, Malaysia.
  • Detras J; Bioinformatics Cluster, Strategic Innovation Platform, International Rice Research Institute (IRRI), Los Baños, Laguna, Philippines.
  • Hualla V; Research Informatics Unit (RIU), International Potato Center (CIP), Lima, Peru.
  • Rathore A; Statistics, Bioinformatics & Data Management (SBDM) Theme, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, Telangana, India.
  • Das RR; Statistics, Bioinformatics & Data Management (SBDM) Theme, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, Telangana, India.
  • Dieng I; Biometrics Unit, International Institute of Tropical Agriculture (IITA), Ibadan, Oyo State, Nigeria.
  • Bauchet G; Mueller Bioinformatics Laboratory, Boyce Thompson Institute for Plant Research, Ithaca, NY, USA.
  • Menda N; Mueller Bioinformatics Laboratory, Boyce Thompson Institute for Plant Research, Ithaca, NY, USA.
  • Pommier C; BioinfOmics, Plant Bioinformatics Facility, Université Paris-Saclay, Institut National de la Recherche pour l'Agriculture, l'Alimentation et l'Environnement (INRAE), Versailles, France.
  • Shaw F; Digital Biology, Earlham Institute, Norwich, Norfolk, UK.
  • Lyon D; Mueller Bioinformatics Laboratory, Boyce Thompson Institute for Plant Research, Ithaca, NY, USA.
  • Mwanzia L; Performance, Innovation and Strategic Analysis, International Center for Tropical Agriculture (CIAT), Regional Office for Africa, Nairobi, Kenya.
  • Juarez H; Research Informatics Unit (RIU), International Potato Center (CIP), Lima, Peru.
  • Bonaiuti E; Monitoring, Evaluation and Learning Team, International Center for Agricultural Research in the Dry Areas (ICARDA), Beirut, Lebanon.
  • Chiputwa B; Research Methods Group (RMG), World Agroforestry (ICRAF), Nairobi, Kenya.
  • Obileye O; Data Management Section, International Institute of Tropical Agriculture (IITA), Ibadan, Oyo State, Nigeria.
  • Auzoux S; UPR AIDA, The French Agricultural Research Centre for International Development (CIRAD), Sainte-Clotilde, Réunion, France.
  • Yeumo ED; Université de Montpellier, Montpellier, France.
  • Mueller LA; Unité Délégation à l'Information Scientifique et Technique - DIST, Institut National de la Recherche pour l'Agriculture, l'Alimentation et l'Environnement (INRAE), Versailles, France.
  • Silverstein K; Mueller Bioinformatics Laboratory, Boyce Thompson Institute for Plant Research, Ithaca, NY, USA.
  • Lafargue A; GEMS Informatics Initiative, University of Minnesota, St. Paul, USA.
  • Antezana E; CP RDIT, Syngenta, St Sauveur, France.
  • Devare M; Bayer Crop Science SA-NV, Diegem, Belgium.
  • King B; Department of Biology, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
Patterns (N Y) ; 1(7): 100105, 2020 Oct 09.
Article in En | MEDLINE | ID: mdl-33205138
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.
Key words
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Patterns (N Y) Year: 2020 Type: Article Affiliation country: France
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Patterns (N Y) Year: 2020 Type: Article Affiliation country: France