Agriculture Ontology for Meta-analysis (AOM): Livestock Prototype
Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)
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Title |
Agriculture Ontology for Meta-analysis (AOM): Livestock Prototype
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Identifier |
https://doi.org/10.7910/DVN/75E7HV
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Creator |
Rosenstock, Todd Stuart
Steward, Peter Richard Joshi, Namita |
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Publisher |
Harvard Dataverse
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Description |
An initial version of the Agriculture Ontology for Meta-analysis (AOM) based on Livestock data from Evidence for Resilience Agriculture (v0.0.1beta). This proto-ontology is designed for the annotation of information from peer-reviewed literature that describe livestock diet, pasture management and breed papers. It's generated from over 400 publications in the ERA dataset. The ontology contains links to existing ontologies (such as NCBI, NCIT, FOODON, CHEBI, EOL), agrovoc and feedipedia. The ontology is a living resource that will be regularly updated and we welcome contributions. Methodology:Concepts were harvested from Evidence for Resilience Agriculture (v0.0.1beta) and organized where possible according to existing ontologies. |
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Subject |
Agricultural Sciences
Earth and Environmental Sciences livestock animal feeding grassland management data science Africa Climate Action |
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Language |
English
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Date |
2023-12-01
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Contributor |
Alliance Data Management
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Type |
Ontology
Concept Scheme Experimental Data Tools |
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