Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support
Paul A Harris, Robert Taylor, Robert Thielke, Jonathon Payne, Nathaniel Gonzalez, Jose G Conde, Paul A Harris, Robert Taylor, Robert Thielke, Jonathon Payne, Nathaniel Gonzalez, Jose G Conde
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.
Figures
![Figure 1. REDCap Project Initiation Workflow](https://www.ncbi.nlm.nih.gov/pmc/articles/instance/2700030/bin/nihms106655f1.jpg)
![Figure 2. REDCap Data Entry](https://www.ncbi.nlm.nih.gov/pmc/articles/instance/2700030/bin/nihms106655f2.jpg)
![Figure 3. REDCap Study Utilization at Vanderbilt…](https://www.ncbi.nlm.nih.gov/pmc/articles/instance/2700030/bin/nihms106655f3.jpg)
![Figure 4. REDCap Consortium](https://www.ncbi.nlm.nih.gov/pmc/articles/instance/2700030/bin/nihms106655f4.jpg)
Source: PubMed