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CCTST

Center for Clinical and Translational Science and Training

Home arrow News arrow REDCap database assistance available
REDCap database assistance available PDF Print E-mail

REDCap (Research Electronic Data Capture) is a secure, web-based application designed exclusively to support data capture for research studies. REDCap provides: 1) an intuitive interface for data entry (with data validation); 2) audit trails for tracking data manipulation and export procedures; 3) automated export procedures for seamless data downloads to common statistical packages (SPSS, SAS, Stata, R); and 4) procedures for importing data from external sources.

As of October 2009, REDCap is in production use or prototype build-status for more than 926 studies spanning numerous research focus areas across a consortium of 61 active institutional partners, including the University of Cincinnati and Cincinnati Children’s Hospital Medical Center.   UC/CCHMC ranks fourth among consortium members in number of projects.

For a demonstration or more information, contact CCTST REDCap administrator Cathy McGraw at  This e-mail address is being protected from spam bots, you need JavaScript enabled to view it .  To discuss your project with a research methodologist, please complete a Research Central consultation request form .


Advantages of REDCap

  • Availability - Available at no direct cost for investigators in the Academic Health Center.
  • Secure and web-based - Input data from anywhere in the world over secure web connection with authentication and data logging.
  • Fast and flexible - Conception to production-level database in less than one day.
  • Multi-site access - REDCap projects can be used by researchers from multiple sites and institutions.
  • Autonomous utilization - Research groups have complete autonomy and control to add new users.
  • Export data to common data analysis packages - Exports raw data and syntax files for SAS, Stata, R and SPSS.
  • Fully customizable - You are in total control of shaping your database.
  • Advanced features - Mid-study modifications, auto-validation and branching logic.
 

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NIH Acknowledgement: Publications resulting from the use of CCTST resources must credit the appropriate CCTST grant by including an NIH Funding acknowledgment.