Are you involved in building a REDCap database for your research project?
Building an appropriate database for your study is critical to ensuring successful data collection and analysis. Learn how to build your database in this three-part Research Database Development course presented by Tufts CTSI. There are no pre-requisites required for any of the three course registrations, but participation in all three courses is encouraged as they build on each other.
Part 2: Building a REDCap Database
This two-hour session will consist of a guided tutorial, followed by a discussion on building REDCap databases for your own research. Participants should be prepared to discuss their research projects. Instructors will work with you to create REDCap accounts prior to this session.
Topics covered include:
- Introduction to REDCap
- Creating projects, forms, and fields
- Exporting data
After attending this session, participants should be able to:
- Describe the differences between classic and longitudinal projects, and identify when to use each
- Create projects, forms, and fields in REDCap
- Export data from REDCap to Excel
Date: Thursday, August 27, 10:00AM-noon
Location: online via Zoom
Members of any Tufts CTSI-affiliated institution are welcome to attend.
Rachael Huebner, MPH is the Clinical Data Manager at Tufts CTSI, providing data management support and training to researchers. Prior to joining Tufts, she worked in data management for industry-sponsored clinical trials after receiving her MPH from Boston University School of Public Health.
Tufts CTSI Professional Education & Expectation for Course Participants
Tufts CTSI’s Professional Education programs provide non-degree continuing education and training for clinical and translational research professionals from all Tufts CTSI partners and beyond.
Course enrollment priority is given to researchers from Tufts CTSI partner institutions. If your participation needs to be approved by your supervisor or a person responsible for your time release, you may provide their contact information when you register for the program.
This course is provided free of charge, and was supported by the National Center for Advancing Translational Sciences, National Institutes of health, Award Number UL1TR002544. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH.