standards > terminology artifact > DOI:10.25504/FAIRsharing.6hna78


ready Exposure Ontology

Abbreviation: ExO


General Information
Exposure Ontology, ExO, is designed to facilitate the centralization and integration of exposure data to inform understanding of environmental health. ExO is intended to bridge the gap between exposure science and diverse environmental health disciplines including toxicology, epidemiology, disease surveillance, and epigenetics.



How to cite this record FAIRsharing.org: ExO; Exposure Ontology; DOI: https://doi.org/10.25504/FAIRsharing.6hna78; Last edited: Feb. 22, 2018, 2:14 p.m.; Last accessed: Nov 19 2018 5:38 p.m.


Record updated: May 31, 2017, 2:37 p.m. by The FAIRsharing Team.

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Publications

Providing the missing link: the exposure science ontology ExO.

Mattingly CJ,McKone TE,Callahan MA,Blake JA,Hubal EA
Environ Sci Technol 2012

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EXO Ontology Display

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Implementing Databases (2)
Comparative Toxicogenomics Database
The Comparative Toxicogenomics Database (CTD) advances understanding of the effects of environmental chemicals on human health. Biocurators manually curate chemical-gene, chemical-disease, and gene-disease relationships from the scientific literature. This core data is then internally integrated to generate inferred chemical-gene-disease networks. Additionally, the core data is integrated with external data sets (such as Gene Ontology and pathway annotations) to predict many novel associations between different data types. A unique and powerful feature of CTD is the inferred relationships generated by data integration that helps turn knowledge into discoveries by identifying novel connections between chemicals, genes, diseases, pathways, and GO annotations that might not otherwise be apparent using other biological resources.

OBO Foundry
The Open Biological and Biomedical Ontology (OBO) Foundry is a collective of ontology developers that are committed to collaboration and adherence to shared principles. The mission of the OBO Foundry is to develop a family of interoperable ontologies that are both logically well-formed and scientifically accurate. To achieve this, OBO Foundry participants voluntarily adhere to and contribute to the development of an evolving set of principles including open use, collaborative development, non-overlapping and strictly-scoped content, and common syntax and relations, based on ontology models that work well, such as the Gene Ontology (GO). The OBO Foundry is overseen by an Operations Committee with Editorial, Technical and Outreach working groups.

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