Assessing Data Quality


Created by the Collaboratory Phenotypes, Data Standards, and Data Quality Core


Tools for ResearchThis white paper is a product of the Collaboratory Phenotypes, Data Standards, and Data Quality Core. Titled Assessing Data Quality for Healthcare Systems Data Used in Clinical Research (V. 1.0), it provides guidance, based on the best available evidence and practice, for assessing data quality in pragmatic clinical trials (PCTs) conducted through the Collaboratory. Topics covered include an overview of data quality issues in clinical research settings, data quality assessment dimensions (completeness, accuracy, and consistency), and a series of recommendations for assessing data quality. Also included as appendices are a set of data quality definitions and review criteria, as well as a data quality assessment plan inventory. The full text of the document is available for download here.

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This work was supported by a cooperative agreement (U54 AT007748) from the NIH Common Fund for the NIH Health Care Systems Research Collaboratory. The views presented in this document are solely the responsibility of the authors and do not necessarily represent the official views of the NIH.


Originally published on July 28, 2014.


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