Ontology-based Data Standards
Ontology-Based Data Standards is a formal system of data specification that integrates controlled, machine-readable ontologies to define, structure, and standardize epidemiologic data elements, their relationships, and permissible values, thereby enabling semantic interoperability across heterogeneous health data sources.
60
Publications
1.9K
Citations
426
Authors
245
Institutions
Publications per year
2017–2026
29
Parents
60
Collaborative development of predictive toxicology applications
Barry Hardy, Nicki Douglas, Christoph Helma et al. · Journal of Cheminformatics · 2010 · 109 citations · Full text
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245
National Institutes of Health
Bethesda, United States
4 h-index
9 publications
233 citations

European Bioinformatics Institute
Cambridge, United Kingdom
4 h-index
46 publications
2K citations
Massachusetts General Hospital
Boston, United States
3 h-index
5 publications
333 citations

Radboud University Nijmegen
Nijmegen, The Netherlands
3 h-index
33 publications
1.6K citations
University of California, Los Angeles
Los Angeles, United States
3 h-index
3 publications
109 citations
Institute of Agrifood Research and Technology
Caldes de Montbui, Spain
2 h-index
2 publications
38 citations
Yale University
New Haven, United States
2 h-index
3 publications
83 citations

University of Manchester
Manchester, United Kingdom
2 h-index
27 publications
1.4K citations
1–8 of 245
3 publications · 61 citations
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2 publications · 128 citations
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2 publications · 30 citations
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JMI · 2 publications · 47 citations
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2 publications · 76 citations
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