dataqualitydashboard online with Winfy

We have hosted the application dataqualitydashboard in order to run this application in our online workstations with Wine or directly.

Quick description about dataqualitydashboard:

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)

Programming Language: JavaScript.
Categories: