Please cite the publications below in study manuscripts using REDCap for data collection and management. We recommend the following boilerplate language:
Study data were collected and managed using REDCap electronic data capture tools hosted at Indiana University.1,2 REDCap (Research Electronic Data Capture) is a secure, web-based software platform designed to support data capture for research studies, providing 1) an intuitive interface for validated data capture; 2) audit trails for tracking data manipulation and export procedures; 3) automated export procedures for seamless data downloads to common statistical packages; and 4) procedures for data integration and interoperability with external sources.
1PA 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.
2PA 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]
(example, adapted from WUSTL)
REDCap (Research Electronic Data Capture) data collection projects rely on a thorough study-specific data dictionary defined in an iterative self-documenting process by all members of the research. The iterative development and testing process results in a well-planned data collection strategy for individual studies. REDCap also contains a survey tool for building and managing online surveys. The research team can create and design surveys in a web browser and engage potential respondents using a variety of notification methods. Both REDCap and REDCap Survey systems provide secure, web-based applications that are flexible enough to be used for a variety of types of research, provide an intuitive interface for users to enter data and have real time validation rules (with automated data type and range checks) at the time of entry. These systems offer easy data manipulation with audit trails and reporting and an automated export mechanism to common statistical packages (SPSS, SAS, Stata, R).
REDCap (Research Electronic Data Capture) data collection projects rely on a thorough study-specific data dictionary defined in an iterative self-documenting process by all members of the research team. The iterative development and testing process results in a well-planned data collection strategy for individual studies.
IU REDCap servers are securely housed in on-site, limited access data centers managed by University Information Technology Services at Indiana University. The web-based interface for IU REDCap encrypts all data transmitted to and from IU REDCap, and IU REDCap data are stored on a private, firewall-protected network. Data are backed up regularly, and those backups are stored at separate data centers in Indianapolis, IN and Bloomington, IN.
All users are given individual user ids and passwords and their access is restricted on a role-specific basis. REDCap was developed specifically around HIPAA Privacy and Security guidelines, and is implemented and maintained at Indiana University according to NIST 800-53 and Indiana University guidelines.
REDCap software is licensed by over 6,500 academic/non-profit consortium partners in more than 150 countries, with millions of users worldwide.