REDCap Survey and Data Management Tool
UT Dallas now offers REDCap – a self-managed, secure, web-based solution designed to support data collection strategies for research studies. This tool provides functionality and features enabling researchers to rapidly develop databases for collecting and managing research data. We are truly excited about the introduction of this application at UT Dallas and the opportunity for it to be used for research, quality, business, and other departmental needs.
What type of projects can be housed in REDCap?
Anyone at UT Dallas! Public research projects require a faculty sponsor
- Easy – Intuitive user interface and work flow, readily available online training materials, and assistance from ORIS all make it easy to get started.
- Fully customizable – You are in control of shaping your dataset.
- Secure – Backed up hourly and hosted in a secure cloud environment.
- Export data to common data analysis packages – Data export function for Excel, SAS, Stata, R, and SPSS.
- Autonomous user management – Research groups have complete autonomy and control to add new users and set several levels of specific user rights.
- Advanced features – Mid-study modifications, auto-validation, branching logic, and calculated fields.
- Powerful but Simple – REDCap is super easy to use and incredibly flexible.
- Training Videos – On the REDCap web site you will find numerous videos that will help you learn just about anything and everything about REDCap.
- Documentation – Documentation is plentiful and can be readily found online.
- Practical – REDCap is a great tool that can benefit just about any department. It is extremely flexible and has a lot of features that are normally desired.
- Support – The application is user friendly, but we have support if needed.
- Data De-identification- methods imposed as a means of preventing from exporting sensitive data
- Branching Logic – logic that can provide additional objects (such as textboxes, option buttons, or others) only if certain conditions are met.
- Email Notifications – Notifications can be scheduled and sent automatically.
- Logging and Audit Trail – REDCap does a great job at tracking application usage.
- REDCap Shared Library – a repository for REDCap data collection instruments and forms that can be downloaded and used by researchers.
Access to REDCap requires a NetID and password. External access is possible but requires a NetID and sponsorship from the Principal Investigator of the project.
- All REDCap projects require a faculty sponsor.
- All projects and users associated with a project will be suspended upon the departure of the Principle Investigator from UT Dallas.
- If you are collecting data for the purposes of human subjects research, review and approval of the project is required by the Institutional Review Board.
- All REDCap databases require ORIS to move them to “Production.” Please use the checklist to ensure that your database will not be delayed in the “push to production ” process. Fill out this form when ready to submit your project for production.
- Surveys are hosted at no charge through 2019, however, excessive storage utilization will be reviewed and may incur a charge.
- Any publications resulting from the use of REDCap should cite its use.
- The use of REDCap for any survey or project visible to the general public must abide by UT Dallas’ Graphic Standards.
Study data were collected and managed using REDCap electronic data capture tools hosted at The University of Texas at Dallas.1 REDCap (Research Electronic Data Capture) is a secure, web-based application designed to support data capture for research studies, providing 1) an intuitive interface for validated data entry; 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 importing data from external sources.
1Paul A. Harris, Robert Taylor, Robert Thielke, Jonathon Payne, Nathaniel Gonzalez, Jose G. 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.