Improving data quality in observational research studies: Report of the Cure Glomerulonephropathy (CureGN) network.

ABSTRACT:

Background

High data quality is of crucial importance to the integrity of research projects. In the conduct of multi-center observational cohort studies with increasing types and quantities of data, maintaining data quality is challenging, with few published guidelines.

Methods

The Cure Glomerulonephropathy (CureGN) Network has established numerous quality control procedures to manage the 70 participating sites in the United States, Canada, and Europe. This effort is supported and guided by the activities of several committees, including Data Quality, Recruitment and Retention, and Central Review, that work in tandem with the Data Coordinating Center to monitor the study. We have implemented coordinator training and feedback channels, data queries of questionable or missing

SUBMITTER: Gillespie BW 

PROVIDER: S-EPMC8039553 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature