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DU REDCap Support

DU-specific training materials

REDCap video tutorials from UC Denver

In addition to the REDCap video tutorials that appear on most pages of the REDCap interface, the UC Denver REDCap team has put together a series of REDCap training videos that are widely used within the REDCap community:

Project Design:

  • Project Setup Page: Explore the project home, project setup, other functionality, and project revision pages. Learn how to customize the settings for your projects, set user rights, use data access groups, and move your project to Production.
  • Online Designer: Learn about the basic steps in designing your project. Learn how to set up forms; create a new field; validate fields; code multiple choice questions; use yes/no and true/false fields; create slider fields; and how to use file upload fields, descriptive fields, and section headers.
  • Online Designer--Advanced Features: Learn how to use advanced features in the Online Designer, such as branching logic, calculated fields, matrices, piping, and the data dictionary. Review some best practices in form creation.
  • Surveys:  Learn how to enable surveys, the benefits of using surveys, setting up your survey, and the different ways you can distribute both initial and follow up surveys.
  • PDF Auto-Archiver and e-Consent: Use REDCap's e-Consent framework to consent participants and save PDFs of the consent.
  • Longitudinal Database: Learn about the longitudinal data collection set up and how it varies from a standard, or classic, data collection instrument. Learn how to define events and assign forms to specific events, use the scheduling module, and advanced calendar features available only in longitudinal studies.
  • Repeating Forms: Learn how to use repeating forms and events

Advanced Project Design

Data Entry, Export, and Management

  • Data Entry: Learn how to add new records, edit existing records, use advanced data entry features, and navigate between records.
  • Reports and Exports: Learn how to create a report, review basic statistics and charts, and export a report or full data set..
  • Missing Data: Set specific missing data codes for your entire project.
  • Advanced Features: Includes the randomization feature (for randomly assigning participants to treatment groups); the logging feature; the field comment log; the data import tool; and the data quality tool.
  • Data Imports: A detailed look at using the import tool to import data from another source.