The FAIRification Of Research In Real-World Evidence: A Practical Introduction To Reproducible Analytic Workflows Using
The Effective Statistician - in association with PSI
Enhancing Reproducibility in Research through FAIR Code Principles
The chapter explores the importance of applying FAIR principles to code used in research for improved reproducibility, emphasizing the significance of storing code in a centralized repository and writing clear, adaptable code. It discusses utilizing platforms like GitHub and storing results as datasets to facilitate accessibility and analysis.
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