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

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      Journal of Biomedical Informatics
      Elsevier BV

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

          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.
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            • Record: found
            • Abstract: not found
            • Article: not found

            SQLGEN: A framework for rapid client-server database application development

              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Model-driven development of Web applications: the AutoWeb system

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                Author and article information

                Journal
                Journal of Biomedical Informatics
                Journal of Biomedical Informatics
                Elsevier BV
                15320464
                April 2009
                April 2009
                : 42
                : 2
                : 377-381
                Article
                10.1016/j.jbi.2008.08.010
                2700030
                18929686
                4b03efb6-8058-4725-8be7-78239d282d2c
                © 2009

                https://www.elsevier.com/tdm/userlicense/1.0/

                https://www.elsevier.com/open-access/userlicense/1.0/

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