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Ontologies related to livestock for the Global Burden of Animal Diseases programme: a review: EN- Ontologies related to livestock for the Global Burden of Animal Diseases programme: a review -FR- Examen des ontologies relatives aux animaux d'élevage pour les besoins du programme « Impact mondial des maladies animales » -ES- Revisión de ontologías relacionadas con la ganadería para el programa sobre el impacto global de las enfermedades animales
Journal article   Open access   Peer reviewed

Ontologies related to livestock for the Global Burden of Animal Diseases programme: a review: EN- Ontologies related to livestock for the Global Burden of Animal Diseases programme: a review -FR- Examen des ontologies relatives aux animaux d'élevage pour les besoins du programme « Impact mondial des maladies animales » -ES- Revisión de ontologías relacionadas con la ganadería para el programa sobre el impacto global de las enfermedades animales

M. Bruce, J. Rushton, K. Raymond, L. Nguyen, S. Kwok, A. Larkins, H. Omar and collaborators GBADs
Revue scientifique et technique (International Office of Epizootics), Vol.43, pp.69-78
2024
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Published737.16 kBDownloadView
CC BY V4.0 Open Access

Abstract

Animals GBADs Global Burden of Animal Diseases Health Information science Livestock Ontology
The Global Burden of Animal Diseases (GBADs) programme aims to assess the impact of animal health on agricultural animals, livestock production systems and associated communities worldwide. As part of the objectives of GBADs’ Animal Health Ontology theme, the programme reviewed conceptual frameworks, ontologies and classification systems in biomedical science. The focus was on data requirements in animal health and the connections between animal health and human and environmental health. In May 2023, the team conducted searches of recognised repositories of biomedical ontologies, including BioPortal, Open Biological and Biomedical Ontology Foundry, and Ontology Lookup Service, to identify animal and livestock ontologies and those containing relevant concepts. Sixteen ontologies were found, covering topics such as surveillance, anatomy and genetics. Notable examples include the Animal Trait Ontology for Livestock, the Animal Health Surveillance Ontology, the National Center for Biotechnology Information Taxonomy and the Uberon Multi-Species Anatomy Ontology. However, some ontologies lacked class definitions for a significant portion of their classes. The review highlights the need for domain evidence to support proposed models, critical appraisal of external ontologies before reuse, and external expert reviews along with statistical tests of agreements. The findings from this review informed the structural framework, concepts and rationales of the animal health ontology for GBADs. This animal health ontology aims to increase the interoperability and transparency of GBADs data, thereby enabling estimates of the impacts of animal diseases on agriculture, livestock production systems and associated communities globally.

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Collaboration types
Domestic collaboration
International collaboration
Citation topics
1 Clinical & Life Sciences
1.54 Molecular & Cell Biology - Genetics
1.54.79 Genomic Bioinformatics
Web Of Science research areas
Veterinary Sciences
ESI research areas
Plant & Animal Science
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