Welcome to our FAQ!
If your question is not answered below, let us know and we’ll be happy to help.

  ACCOUNTS AND PASSWORDS

Q: How do I get an account to access CRI resources?

A: All members of the BSD are automatically eligible for an account. Request your account here with your BSD credentials. Accounts are normally issued within two business days after we receive all necessary information.

Q: How can I find my BSD credentials?

A: If you do not know your BSD credentials, call the CBIS service desk at 773-702-3456.

Q: How do I change my BSD password?

A: You can find the BSD password change form here. If you have forgotten your BSD password, call the CBIS service desk at 773-702-3456.

Q: I’m not a member of the BSD. Can I still access CRI resources?

A: BSD collaborators, including those from other institutions, are eligible for a CRI account if they have a BSD faculty sponsor. Sponsors can request collaborator accounts here.

  USING CRI RESOURCES

Q: How can I get technical help with CRI resources?

A: You may submit a ticketemail us, or call our help desk at 773-834-8475.

  ACKNOWLEDGING AND CITING THE CRI

Q: How can I acknowledge support from the CRI?

A: Thank you for acknowledging the CRI. We recommend the following language:

The Center for Research Informatics is funded by the Biological Sciences Division at the University of Chicago with additional funding provided by the Institute for Translational Medicine, CTSA grant number UL1 TR000430 from the National Institutes of Health.

Q: How can I acknowledge the Clinical Research Data Warehouse?

A: For a grant, please use the following language:

Data used in this study will be provided by the Clinical Research Data Warehouse (CRDW) maintained by the Center for Research Informatics (CRI) at University of Chicago. The CRDW has been approved by the IRB to operate as an enterprise resource to support research throughout the Biological Sciences Division (BSD). Data in the CRDW comes from Billing, Clinical Registries, Research Systems as well as our Electronic Medical Record (EMR) and comprises all encounters from 1/1/2006 to date. This includes over 6.8 million inpatient and outpatient encounters for at least 555,000 distinct patients resulting in greater than 268 million observations. The Center for Research Informatics (CRI) is funded by the Biological Sciences Division, the Institute for Translational Medicine/CTSA (NIH UL1 TR000430) at the University of Chicago.

For a paper, please use the following language:

Data from this study were provided by the Clinical Research Data Warehouse (CRDW) maintained by the Center for Research Informatics (CRI) at University of Chicago. The Center for Research Informatics is funded by the Biological Sciences Division, the Institute for Translational Medicine/CTSA (NIH UL1 TR000430) at the University of Chicago.

Q: How do I acknowledge REDCap?

A: Thank you for acknowledging the support of the REDCap project. We recommend the following language:

The REDCap project at the University of Chicago is hosted and managed by the Center for Research Informatics and funded by the Biological Sciences Division and by the Institute for Translational Medicine, CTSA grant number UL1 TR000430 from the National Institutes of Health.

For grants and IRB documentation, investigators may use the following language:

The Center for Research Informatics at the University of Chicago Biological Sciences offers the use of REDCap (Research Electronic Data Capture) as a central location for data processing and management. REDCap was developed by Vanderbilt University, with collaboration from a consortium of institutional partners, as a toolset and workflow methodology for electronic collection and management of research and clinical trial data. REDCap is a secure, web-based application that is flexible enough to be used for a variety of types of research. REDCap provides an intuitive user interface that streamlines project development and improves data entry through real-time validation rules (with automated data type and range checks). REDCap also provides easy data manipulation (with audit trails for reporting, monitoring and querying patient records) and an automated export mechanism to common statistical packages (SPSS, SAS, Stata, R/S-Plus). In addition to traditional data capture functionality, REDCap’s survey capabilities are a powerful 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. All data collection projects rely on a thorough, study-specific data dictionary, defined by all members of the research team in an iterative, self-documenting process. This iterative development and testing process results in a well-planned and individualized data collection strategy. As for security, REDCap VM servers are housed in the Kenwood Data Center on the campus of the University of Chicago, and all web-based information transmission is encrypted. REDCap was developed specifically around HIPAA-Security guidelines and is recommended to university researchers by both our Privacy Office and Institutional Review Board. Access to the system requires an University of Chicago user account with external users supported using University sponsored accounts. More information about the consortium and system security can be found at http://www.projectredcap.org.

Q: How do I cite REDCap in a paper?

A: Study investigators can cite the publication below in study manuscripts using REDCap for data collection and management. Please note that any publication that results from a project utilizing REDCap should cite grant support UL1 TR000430 from NCATS/NIH.

Study data were collected and managed using REDCap electronic data capture tools hosted at the University of Chicago(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.

(1)Paul 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.