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ARES

ARES is A Research Exploration System designed to improved the transparency of observational data research. ARES is an opinionated framework that delineates three levels of observational data assessment.

Network

The network level includes all data sources contributing information for a particular research agenda or community.

Data Source

The data source level refers to a data source that originates from an individual vendor, provider, payer or other data aggregator.

Release

The release level refers to a specific release of a data source. Releases are identified by the combination of attributes that makes them unique. These include data source version, vocabulary version, OMOP CDM version, and ETL version.

Features

ARES provides functionality to address the following research topics across all three levels of observational data assessment.

  • Data Characterization
  • Data Quality Assessment

ares's People

Contributors

mikhail-iontsev avatar fdefalco avatar aandryc avatar alondhe avatar

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