Please note that any publication that results from a project utilizing REDCap should cite grant support

UL1 TR000445 from NCATS/NIH

Suggested template text about REDCap (helpful for grants and IRB documentation):

Vanderbilt University, with collaboration from a consortium of institutional partners and funding from the National Institute of Health (NIH), has developed a software toolset and workflow methodology for electronic collection and management of research and clinical trial data. The Arizona Institute for Clinical & Translational Sciences will be used as a central location for data processing and management. REDCap (Research Electronic Data Capture) is a secure, web-based application that is flexible enough to be used for a variety of types of research. REDCap provides an intuitive user interface that streamlines project development and improves data entry through real-time validation rules (with automated data type and range checks). REDCap also provides easy data manipulation (with audit trails for reporting, monitoring and querying patient records) and an automated export mechanism to common statistical packages (SPSS, SAS, Stata, R/S-Plus). In addition to traditional data capture functionality, REDCap’s survey capabilities are a powerful tool for building and managing online surveys. The research team can create and design surveys in a web browser and engage potential respondents using a variety of notification methods. All data collection projects rely on a thorough, study-specific data dictionary, defined by all members of the research team in an iterative, self-documenting process. This iterative development and testing process results in a well-planned and individualized data collection strategy.

Additional template text about security:

The REDCap electronic data management (EDM) system at the University of Arizona is housed on a dedicated server located in the University Of Arizona College Of Medicine. The space is a temperature controlled, physically secured keyless entry area. REDCap hardware and software support is provided by the University of Arizona Institute for Clinical & Translational Sciences. All web-based information transmission is password protected and encrypted. REDCap was developed specifically around HIPAA-Security guidelines and is recommended to University of Arizona researchers by both our Privacy Office and Institutional Review Board. REDCap has been disseminated for local use at more than 1,832 other academic/non-profit consortium partners in 99 countries. Vanderbilt leads the REDCap Consortium, which currently supports more than 247,000 projects and 339,000 users. More information about the consortium and system security can be found at http://www.projectredcap.org/.

Publications/Proceedings/Presentations:

1.  P.A. Harris, R. Thielke, R. Taylor, J. Payne, N. Gonzalez, J.G. Conde. Research Electronic Data Capture (REDCap) - A metadata-driven methodology and workflow process for providing translational research informatics support. Journal of Biomedical Informatics, 2008 (doi:10.1016/j.jbi.2008.08.010).

2.  P.A. Harris, R. Taylor, R. Thielke, J. Lee, R. Sanders, M. Isozaki, H. Howard, S. Hemphill, C. McGraw, B. Nieves, A. Peshansky, A. Nida, M. Lin. The REDCap Consortium Project: A Case Study in Collaborative Software Development for Clinical Research Informatics. (Panel Presentation - AMIA Spring Conference, 2008)

3.  P. Harris, R. Thielke, R. Schuff, J. Obeid, M. Oium. The REDCap consortium - A case study in translational research informatics resource sharing among academic institutions. (AMIA Spring Conference, 2007)

4.  P.A. Harris. REDCap (Research Electronic Data CAPture) project progress report for informatics resource sharing / collaboration at ten academic institutions. (Clinical Research, 2007)

5.  P.A. Harris, N. Gonzalez, M Silva-Ramos, J.G. Conde. Web-based data collection - collaborative development of metadata collection and export modules. (Clinical Research, 2006)

  1. P.A. Harris, J.D. Payne. Creating custom web-based data collection systems. (Clinical Research, 2005) (Abstract)