standards > terminology artifact > DOI:10.25504/FAIRsharing.658tcg


ready Observational Medical Outcomes Partnership Standard Vocabulary

Abbreviation: OMOPSV


General Information
The Standard Vocabulary is a foundational tool developed by the OMOP team to enable transparent and consistent content across disparate observational databases, and serves to support the OMOP research community in conducting efficient and reproducible observational research. The Standard Vocabulary contains all of the code sets, terminologies, vocabularies, nomenclatures, lexicons, thesauri, ontologies, taxonomies, classifications, abstractions, and other such data that are required for: 1. Creating the transformed (i.e., standardized) data from the raw data sets, 2. Searching and querying the transformed data, and browsing and navigating the hierarchies of classes and abstractions inherent in the transformed data 3. Interpreting the meanings of the data.

Homepage http://omop.org/Vocabularies

Countries that developed this resource United States

Taxonomic range




How to cite this record FAIRsharing.org: OMOPSV; Observational Medical Outcomes Partnership Standard Vocabulary; DOI: https://doi.org/10.25504/FAIRsharing.658tcg; Last edited: Jan. 8, 2019, 1:40 p.m.; Last accessed: Sep 20 2019 1:22 p.m.


Record added: Aug. 14, 2015, 2:14 p.m.
Record updated: July 7, 2017, 3:30 p.m. by The FAIRsharing Team.

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Tools

    No tools defined


Schemas

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Access / Retrieve Data

Conditions of Use

Applies to: Data use




Publications

A Systematic Statistical Approach to Evaluating Evidence from Observational Studies

David Madigan, Paul E. Stang, Jesse A. Berlin, Martijn Schuemie, J. Marc Overhage, Marc A. Suchard, Bill Dumouchel, Abraham G. Hartzema, and Patrick B. Ryan
Annual Review of Statistics and Its Application 2014

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OMOPSV Ontology Display

View in BioPortal.


Disclaimer: This widget assumes the availability of the ontology resources in the NCBO BioPortal.

View in OBO Foundry.



Related Standards

Reporting Guidelines

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Terminology Artifacts

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Models and Formats

Identifier Schemas

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Metrics

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