Reproducible Research Fundamentals is a course run by the DIME Analytics team in the Development Impact department. The course is designed to teach research assistants and analysts best practices for reproducible research. Participants will learn how to implement transparent and reproducible workflows, to effectively code in a team environment, and to keep personal data secure throughout the lifecycle of a research project.
The course will be entirely in-person, in Washington, DC, from September 25-September 29. It will use a combination of lectures, hands-on software labs, and group discussions. Participants are expected to be familiar with either Stata or R. By the end of the course, participants will have the tools and knowledge to implement best practices for transparent and reproducible research.
Participants will learn:
- Why reproducibility matters in development economics research
- How to use GitHub for effective and transparent collaboration
- Programming 101
- How to effectively manage, clean, and tidy raw datasets
- Best practices for indicator construction and data analysis
- Principles for working with personal data
- How to create reproducible research outputs
This course is only open to World Bank and IMF staff.