Data Quality in REDCap

Event: Improving Data Quality with REDCap Date:  Feb 20th, 2025 Time: 1:30 PM Duration: 40 minutes Recording: REDCap Data Quality Training Slides: Powerpoint

 

In this session we will cover REDCap features that help ensure data quality over the life of your project including:

• Specific value formats

• Locating missing values

• Range constraints

• Controlled design updates

• Data resolution workflow

While it is easiest to include data quality controls as part of initial study design, this session will cover how they can be added at any phase of a project.  Don’t miss out on this chance to learn from our experts and enhance your research capabilities.  This is the second in a series of training sessions that aims to cover the wide variety of features available in REDCap.  Session One

We will try to answer general questions during the training.  If you have data quality questions that are specific to your project, we suggest visiting the open help desk hours.

We look forward to seeing you there!

MSU Clinical and Translational Sciences Institute

 

Please contact us if you have further questions.