

The FAIRification Of Research In Real-World Evidence: A Practical Introduction To Reproducible Analytic Workflows Using
Jun 10, 2024
Experienced researcher Janick Weberpals discusses reproducible analytic workflows, FAIR principles, and challenges in Real-World Evidence research. Integration of Git and R enhances transparency and collaboration. Insights on best practices, coding, and implementation steps for reliable findings.
Chapters
Transcript
Episode notes
1 2 3 4 5
Intro
00:00 • 5min
Journey into Pharmacobinemiology and Real-World Evidence
05:20 • 7min
Enhancing Reproducibility in Research through FAIR Code Principles
12:15 • 8min
Importance of Reproducibility with Git and R
20:02 • 9min
Exploring the Benefits of Using Other People's Code in Statistical Programming
28:37 • 3min