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REDCap (Research Electronic Data Capture) is a secure, web-based application for building and managing online databases. The application was originally developed at Vanderbilt University as part of its CTSA application and the software is managed by a consortium of over 130 institutions. Using REDCap’s streamlined process for rapidly developing databases, you may create and design databases using 1) the online method from your web browser using the Online Form Editor; and/or 2) the offline method by constructing a ‘data dictionary’ template file in Microsoft Excel, which can be later uploaded into REDCap. REDCap provides automated export procedures for seamless data downloads to Excel and common statistical packages (SPSS, SAS, Stata, R), as well as a built-in project calendar, a scheduling module, ad hoc reporting tools, and advanced features, such as branching logic, file uploading, and calculated fields.

NOTICE: If you are collecting data for the purposes of human subjects research, review and approval of the project is required by your Institutional Review Board.

Training Videos and Materials

REDCap Training Resources

Citing REDCap

Please cite the publication below in study manuscripts using REDCap for data collection and management using the following recommended boilerplate language:

Study data were collected and managed using REDCap electronic data capture tools hosted at UConn Health.1 REDCap (Research Electronic Data Capture) is a secure, web-based application designed to support data capture for research studies, providing: 1) an intuitive interface for validated data entry; 2) audit trails for tracking data manipulation and export procedures; 3) automated export procedures for seamless data downloads to common statistical packages; and 4) procedures for importing data from external sources.

1Paul A. Harris, Robert Taylor, Robert Thielke, Jonathon Payne, Nathaniel Gonzalez, Jose G. Conde, Research electronic data capture (REDCap) – A metadata-driven methodology and workflow process for providing translational research informatics support, J Biomed Inform. 2009 Apr;42(2):377-81.

Link to article: