REDCap: Overview

SMPH REDCap (Research Electronic Data Capture) is a largely self-service, secure, web-based application used for building and managing data collection forms. REDCap provides data management functionality by allowing the development of electronic instruments and surveys to support data capture for research studies, including those that involve protected health information (PHI).

REDCap provides:

  1. An intuitive interface (with optional data validation for data captured on forms and surveys).
  2. Audit trails for tracking data manipulation and export procedures.
  3. Export procedures for seamless data downloads to common statistical packages (e.g. SPSS, SAS, Stata, & R).
  4. Reporting capabilities.
  5. Procedures for importing data from external sources.
SMPH REDCap should not be used for studies conducted under an IND or IDE where REDCap will contain source data, electronic signatures, or be relied on to perform study activities (e.g., assess eligibility). It is currently not 21 CFR part 11 compliant. SMPH REDCap may be used as a data entry system for purposes of data analysis. We are working towards part 11 compliance in 2023 and will alert users once this is available.

If you are collecting data for the purposes of human subjects research, review and approval of the project is required by your Institutional Review Board. REDCap should NOT be used just as a file storage system as that is not its intended purpose.

Frequently Used REDCap Resources:


REDCap Training and Resources
Cost of Using SMPH REDCap

The cost of using REDCap for your research electronic data capture needs is $200 per REDCap project per year. The REDCap fees will be charged when the project initially goes into production, and annually thereafter.

NOTE: One clinical research study could use multiple REDCap projects to address the study specific research data capture needs. The cost is per REDCap project, not per study, therefore one (1) study that uses five (5) REDCap projects to collect research study data will cost $1000/year ($200/project/year x 5 projects = $1000/year)

Projects NOT considered research and NOT requiring IRB review/approval (i.e. for administrative purposes) can use REDCap at no cost.

Licensing and Citing

Licensing

REDCap is licensed through the REDCap Consortium. The REDCap Constortium is comprised of institutional partners representing Clinical Translational Science Award (CTSA) institutions and other research oriented centers and facilities around the world.

Citing

REDCap users are asked to cite the publication below in study manuscripts. We recommend the following boilerplate language:
Study data were collected and managed using REDCap electronic data capture tools hosted at the University of Wisconsin-Madison, School of Medicine and Public Health1,2. 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.
1 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. Link to article.

2 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 article.
Contact Us
Email redcap@ictr.wisc.edu if you have general REDCap support questions or need further REDCap information.




Keywords:REDCap   Doc ID:96709
Owner:Amy S.Group:SMPH Research Informatics
Created:2019-12-18 10:21 CSTUpdated:2022-09-28 12:44 CST
Sites:Institute for Clinical and Translational Research, SMPH Research Informatics
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