Data Collection and Management for Clinical Research (EPI 218)
Summer 2026 (2 units)
All research studies must securely store data, query it, and prepare it for statistical analysis. Many research studies will also collect new data. Commonly used spreadsheet applications (such as Microsoft Excel) are inadequate for these tasks.
The course prepares students to begin their own research data collection and management securely, efficiently, and accurately. It introduces the theory of relational database management systems (RDBMSs) used by virtually all major commercial database systems. It also gives students practical, hands-on experience in developing research data systems using REDCap (a web-based data capture system) and Microsoft Access (the world's most popular desktop RDBMS), as well as moving and converting data between systems. Students will survey many of the advanced features of REDCap and Access and see why researchers should nearly always choose true database applications for collecting and managing their research data.
For many students, this course will be a first introduction to UCSF's secure cloud computing environment, the Research Analysis Environment (RAE). R is included at an introductory level.