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The goal of the Data Quality Dashboard (DQD) project is to design and develop an open-source tool to expose and evaluate observational data quality. This package will run a series of data quality checks against an OMOP CDM instance (currently supports v5.4, v5.3 and v5.2). It systematically runs the checks, evaluates the checks against some pre-specified threshold, and then communicates what was done in a transparent and easily understandable way. The quality checks were organized according to the Kahn Framework1 which uses a system of categories and contexts that represent strategies for assessing data quality. Using this framework, the Data Quality Dashboard takes a systematic-based approach to running data quality checks. Instead of writing thousands of individual checks, we use “data quality check types”. These “check types” are more general, parameterized data quality checks into which OMOP tables, fields, and concepts can be substituted to represent a singular data quality idea.
Features
- Utilizes configurable data check thresholds
- Analyzes data in the OMOP Common Data Model format for all data checks
- Produces a set of data check results with supplemental investigation assets.
- DataQualityDashboard is an R package
- Requires R (version 3.2.2 or higher)
- Requires DatabaseConnector (version 2.0.2 or higher)
Project Samples
