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

Author(s): Paul A. Harris, Robert Taylor, Robert Thielke, Jonathon Payne, Nathaniel Gonzalez, Jose G. Conde

Publication date: 2009-03-31

Journal: Journal of Biomedical Informatics

Keywords: Biomedical Research, Clinical Trials as Topic, Data Collection, methods, Humans, Internet, Medical Informatics, Software

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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.

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A comparison study: paper-based versus web-based data collection and management.

Konrad P. Weber, Sebastian Weber, Hossein Yarandi … (2005)

The purpose of this pilot study was to compare the cost, accuracy, and efficiency of a web-enhanced handheld computer data collection system with those of the traditional paper-based data collection and management system and to increase awareness/knowledge of researchers on these two data collection and management methods. This is an important topic because funding resources are diminishing and high startup costs associated with automated data collection systems may give researchers pause when faced with these financial expenditures. Hence, this information will position grant writers and funders to make intelligent decisions regarding the feasibility and advantage of web-enhanced electronic data collection strategies.