Introduction to R for Clinical Data Management

R Projects and Folder Structure

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30-45 minutes Applied Step 6 of 9

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Folder	Contents	Good practice	Common risk if unmanaged
`data_raw`	Unmodified source exports	Treat as read-only and keep original filenames or date-stamped filenames	Accidental changes to source files
`data_clean`	Derived datasets generated by scripts	Recreate from scripts when rules change	Confusion between original and modified data
`scripts`	R scripts used for import, checking, cleaning, and reporting	Use clear names and keep scripts under version control when possible	Untraceable manual work
`outputs`	Reports, query lists, figures, tables	Date-stamp or version outputs where useful	Reports overwritten without record
`documentation`	Protocol, DMP, data dictionary, CRF guides	Keep study definitions near the code	Checks drift away from protocol definitions