Kassy Raymond
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    • Identifying Inconsistencies in Data Quality Between FAOSTAT, WOAH, UN Agriculture Census, and National Data
    • Ontologies related to livestock for the Global Burden of Animal Diseases programme: a review
    • 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
    • Rationalising development of classification systems describing livestock production systems for disease burden analysis within the Global Burden of Animal Diseases programme
    • Approximating the global economic (market) value of farmed animals
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Identifying Inconsistencies in Data Quality Between FAOSTAT, WOAH, UN Agriculture Census, and National Data

Jan 1, 2024·
Ian McKechnie
,
Kassy Raymond
,
Deborah Stacey
· 0 min read
Cite
Type
Journal article
Publication
Data Science Journal, 23(1)
Last updated on Jan 1, 2024
← Global Burden of Animal Diseases informatics strategy, data quality and model interoperability Jan 1, 2024
Ontologies related to livestock for the Global Burden of Animal Diseases programme: a review Jan 1, 2024 →

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