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This article is part of the supplement: UT-ORNL-KBRIN Bioinformatics Summit 2012

Open Access Open Badges Meeting abstract

Research Electronic Data Capture (REDCap) - planning, collecting and managing data for clinical and translational research

Paul A Harris

Author Affiliations

Department of Biomedical Informatics, Vanderbilt University, Nashville, TN 37208, USA

BMC Bioinformatics 2012, 13(Suppl 12):A15  doi:10.1186/1471-2105-13-S12-A15

The electronic version of this article is the complete one and can be found online at:

Published:31 July 2012

© 2012 Harris; licensee BioMed Central Ltd.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


REDCap (Research Electronic Data Capture) is a software application and workflow methodology designed to collect and manage data for research studies. REDCap study databases are secure, web-based applications and easy to create, launch and manage on a project-by-project basis. REDCap uses a study-specific data dictionary to eliminate all programming requirements for the creation of electronic case report forms and participant survey instruments for individual studies – making it extremely fast to develop and launch for any size study. Vanderbilt developed and launched REDCap in 2004 and began sharing the software with other academic and non-profit institutions in 2005 at no cost under a unique consortium dissemination model. The consortium now consists of 322 academic and non-profit partner institutions across six continents serving 38,600 end-users ( webcite). This presentation will provide a description of the REDCap software platform, global consortium and low-cost institutional models for supporting data management across the entire clinical and translational research enterprise.