Are you involved in building a 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 a database in this 90-minute Tufts CTSI workshop, Research Database Creation: Basics & Best Practices. This session will begin with an interactive lecture presented by Rachael Huebner, a Clinical Data Manager at Tufts CTSI, followed by a workshop in which participants will practice building a simple database in Excel.
This workshop is a prerequisite to a subsequent workshop, Research Database Creation: Building a REDCap Database. Please note, in this workshop, we will not be using REDCap, but we will be learning the fundamentals required for database creation, which will inform our second session where REDCap will be used.
After attending this event, you should be able to:
- Recognize database creation best practices
- Identify the clinical and demographic data needed to answer a study question
- Effectively name and code variables
- Create an Excel sheet appropriate for study data collection
Date: Thursday, March 12, noon-1:30PM
Location: ONLINE ONLY
This workshop is a prerequisite to a subsequent workshop, Research Database Creation: Building a REDCap Database.
This workshop is designed for research assistants, clinical research coordinators, investigators, residents, and fellows who will be creating or working with databases for research projects.
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.