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The FAIRification Of Research In Real-World Evidence: A Practical Introduction To Reproducible Analytic Workflows Using
Episode 370

The FAIRification Of Research In Real-World Evidence: A Practical Introduction To Reproducible Analytic Workflows Using

Interview with Janick Weberpals

The Effective Statistician - in association with PSI

June 10, 202431m 58s

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Show Notes

Interview with Janick Weberpals

Key points:

  • Reproducible Analytic Workflows
  • FAIR Principles
  • Challenges and opportunities in Real-World Evidence (RWE)
  • Git and R Integration
  • Janick Weberpals’ Journey
  • Best Practices in Coding
  • Collaboration and Accessibility
  • Implementation Steps

This episode offers invaluable insights into the importance of reproducible analytic workflows and the application of the FAIR principles in real-world evidence research. By integrating tools like Git and R, researchers can enhance transparency, collaboration, and the reliability of their findings.

We hope you found this discussion with Janick Weberpals both informative and inspiring.

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