The Ontologies Community of Practice: An Initiative by the CGIAR Platform for Big Data in Agriculture
| Autor: | Pankaj Jaiswal, Rosemary Shrestha, Ibnou Dieng, Erick Antezana, Julian Pietragalla, Cyril Pommier, Felix Shaw, Sandrine Auzoux, Abhishek Rathore, Esther Dzale Yeumo, Afolabi Agbona, Alexandra Lafargue, Sabina Leonelli, Christopher J. Mungall, Brian King, Lukas A. Mueller, Elizabeth Arnaud, H. Juarez, Brian Chiputwa, Laurel Cooper, Leroy Mwanzia, Enrico Bonaiuti, Medha Devare, Gideon Kruseman, Jacqueline Muliro, Guillaume Bauchet, Marie-Angélique Laporte, Soonho Kim, David A. Lyon, Kevin A. T. Silverstein, Céline Aubert, Olatunbosun Obileye, Pier Luigi Buttigieg, Naama Menda, V. Hualla, Jeffrey Detras, Roma Rani Das |
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| Rok vydání: | 2020 |
| Předmět: |
2. Zero hunger
0303 health sciences 0209 industrial biotechnology business.industry Big data 02 engineering and technology 15. Life on land Ontology (information science) computer.software_genre Data science Knowledge sharing Metadata 03 medical and health sciences 020901 industrial engineering & automation Community of practice Data quality Controlled vocabulary business computer 030304 developmental biology Data integration |
| Zdroj: | SSRN Electronic Journal. |
| ISSN: | 1556-5068 |
| DOI: | 10.2139/ssrn.3565982 |
| Popis: | Heterogeneous and multidisciplinary data generated by research on sustainable global agriculture and agrifood systems requires quality data labelling 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 agreed full set of ontologies recommended for data annotation across agricultural research disciplines, which may span genetics, environment, agroecology, biology and socioeconomics. 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 ontology expertise. This CoP aims to stimulate knowledge sharing and directly support platform development teams by producing ontologies or contributing missing concepts, recommending best practices and identifying mitigation solutions when gold standard datasets are difficult to attain. |
| Databáze: | OpenAIRE |
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