Research electronic data capture (REDCap)-A metadata-driven methodology and workflow process for providing translational research informatics support

  • Authors:

  • Paul A. Harris;Robert Taylor;Robert Thielke;Jonathon Payne;Nathaniel Gonzalez;Jose G. Conde

  • Affiliations:

  • Department of Biomedical Informatics, Vanderbilt University, 2525 West End Avenue, Suite 674, Nashville, TN 37212, USA;Office of Research Informatics, Vanderbilt University, 2525 West End Avenue, Suite 600, Nashville, TN 37212, USA;General Clinical Research Center, Medical College of Wisconsin, 9200 West Wisconsin Avenue, Milwaukee, WI 53226, USA;Biomedical Research Education and Training, Vanderbilt University, 340 Light Hall, Nashville, TN 37232, USA;Center for Information Architecture in Research, University of Puerto Rico, P.O. Box 365067, San Juan, PR 00936, USA;Center for Information Architecture in Research, University of Puerto Rico, P.O. Box 365067, San Juan, PR 00936, USA

  • Venue:
  • Journal of Biomedical Informatics
  • Year:
  • 2009

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Abstract

Research electronic data capture (REDCap) is a novel workflow methodology and software solution designed for rapid development and deployment of electronic data capture tools to support clinical and translational research. We present: (1) a brief description of the REDCap metadata-driven software toolset; (2) detail concerning the capture and use of study-related metadata from scientific research teams; (3) measures of impact for REDCap; (4) details concerning a consortium network of domestic and international institutions collaborating on the project; and (5) strengths and limitations of the REDCap system. REDCap is currently supporting 286 translational research projects in a growing collaborative network including 27 active partner institutions.