REDCap Best Practices

Thoughtful project design is one of the most effective ways to improve data quality, reduce rework, and support efficient study operations.

Use the guidance below to help plan, build, test, and maintain your REDCap project effectively.
Before building, take time to plan your workflow, define the data you need, and consider how your team will interact with the system.

Core Principle: Plan → Build → Test → Secure → Maintain

Core Best Practices at a Glance

Principle Description
Plan First Define your data collection needs, workflow, and reporting needs before building.
Design Clearly Use clear variable names, labels, consistent coding, and appropriate validations.
Test Carefully Validate logic, surveys, reports, and permissions before go-live.
Protect Access Assign only the permissions needed and limit data exports.

Plan Your Project Before Building

Spend time planning your project structure before creating forms in REDCap.

  • What data will you collect?
  • Why is each data point needed?
  • Who will enter the data?
  • Will participants complete surveys?
  • Will data be collected once, repeatedly, or longitudinally?
  • Are multiple sites involved?
  • What reports or analyses will be needed?
Best practice: Draft your data collection plan or data dictionary before building.

Variable Naming

  • Use lowercase names
  • Use underscores
  • Keep names short but descriptive
  • Use consistent naming conventions
Best practice: Do not change variable names after data collection begins.

Field Validation

  • Use date validation for dates
  • Use numeric validation for numbers
  • Use email validation for emails
  • Define ranges when appropriate
Best practice: Use validation instead of free text whenever possible.

User Rights

Assign access based on role using the principle of least privilege.

  • Limit access to only what is necessary
  • Use roles and Data Access Groups
  • Remove users when no longer needed
  • Limit export privileges
Important: Users with access to User Rights can modify permissions for others.

Testing

  • Enter test records
  • Validate branching logic
  • Test surveys and invitations
  • Verify reports and exports
  • Test user roles
Best practice: Test with real-world scenarios before moving to Production.

Ongoing Project Management

  • Run Data Quality checks regularly
  • Monitor logging
  • Review reports
  • Use record locking when appropriate
  • Archive projects when complete
Best practice: Project owners are responsible for ongoing data quality and security.

Additional Resources