Please cite the following below in study manuscripts using REDCap and Harvard Catalyst support for data collection and management. The following language is recommended:
Citing REDCap
Study data were collected and managed using REDCap electronic data capture tools hosted by Academic & Research Computing at Beth Israel Deaconess Medical Center, part of Beth Israel Lahey Health. REDCap (Research Electronic Data Capture) is a secure, web-based software platform designed to support data capture for research studies.
PA Harris, R Taylor, R Thielke, J Payne, N Gonzalez, JG. Conde, Research electronic data capture (REDCap) – A metadata-driven methodology and workflow process for providing translational research informatics support, J Biomed Inform. 2009 Apr;42(2):377-81.
PA Harris, R Taylor, BL Minor, V Elliott, M Fernandez, L O’Neal, L McLeod, G Delacqua, F Delacqua, J Kirby, SN Duda, REDCap Consortium, The REDCap consortium: Building an international community of software partners, J Biomed Inform. 2019 May 9 [doi: 10.1016/j.jbi.2019.103208]
Link to articles:
- http://www.sciencedirect.com/science/article/pii/S1532046408001226
- https://www.sciencedirect.com/science/article/pii/S1532046419301261
Citing Harvard Catalyst
This work was conducted with support from Harvard Catalyst | The Harvard Clinical and Translational Science Center (NIH Award #UL1 RR 025758 and financial contributions from Harvard University and its affiliated academic health care centers). The content is solely the responsibility of the authors and does not necessarily represent the official views of Harvard Catalyst, Harvard University and its affiliated academic health care centers, the National Center for Research Resources, or the National Institutes of Health.
Text for inclusion into grant and IRB submissions
REDCap (Research Electronic Data Capture) is a free, secure, HIPAA compliant web-based application hosted by Academic & Research Computing at Beth Israel Deaconess Medical Center, part of Beth Israel Lahey Health. Vanderbilt University, with collaboration from a consortium of academic and non-profit institutional partners, has developed this software toolset and workflow methodology for electronic collection and management of research and clinical study data. Data collection projects rely on a study-specific data dictionary defined by members of the research team with planning assistance from Harvard Catalyst | The Harvard Clinical and Translational Science Center EDC Support Staff. The iterative development and testing process results in a well-planned data collection strategy for individual studies. Using REDCap, the research team can also design web-based surveys and engage potential respondents using a variety of notification methods. REDCap provides flexible features that can be used for a variety of research projects and provides an intuitive interface to enter data with real time validation (automated data type and range checks). The system offers easy data manipulation with audit trails, reports for monitoring and querying participant records, and an automated export mechanism to common statistical packages (SPSS, SAS, Stata, R).
Material adapted from MGB RISC Research Applications REDCap team on REDCap and citing REDCap with appreciation.