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

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HarrisBMC Bioinformatics2012,13(Suppl 12):A15 http://www.biomedcentral.com/14712105/13/S12/A15

M E E T I N GA B S T R A C TOpen Access Research Electronic Data Capture (REDCap)  planning, collecting and managing data for clinical and translational research Paul A Harris From11th Annual UTORNLKBRIN Bioinformatics Summit 2012 Louisville, KY, USA. 30 March  1 April 2012

Background REDCap (Research Electronic Data Capture) is a software application and workflow methodology designed to col lect 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 electro nic case report forms and participant survey instruments for individual studies–making it extremely fast to develop and launch for any size study. Vanderbilt devel oped and launched REDCap in 2004 and began sharing the software with other academic and nonprofit institu tions in 2005 at no cost under a unique consortium dis semination model. The consortium now consists of 322 academic and nonprofit partner institutions across six continents serving 38,600 endusers (http://www.project redcap.org). This presentation will provide a description of the REDCap software platform, global consortium and lowcost institutional models for supporting data man agement across the entire clinical and translational research enterprise.

Published: 31 July 2012

doi:10.1186/1471210513S12A15 Cite this article as:Harris:Research Electronic Data Capture (REDCap)  planning, collecting and managing data for clinical and translational research.BMC Bioinformatics201213(Suppl 12):A15.

Correspondence: paul.harris@vanderbilt.edu Department of Biomedical Informatics, Vanderbilt University, Nashville, TN 37208, USA

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© 2012 Harris; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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