Data Cleaning and Preparation in R: Summary and Assessment

Recommended sources for this chapter include clinical data management good practice guidance, Good Clinical Practice, data integrity guidance, REDCap publications, tidy data literature, R for Data Science, and missing-data methodology texts [@scdm2024gcdmp; @ich2016gcp; @mhra2018dataintegrity; @harris2009redcap; @harris2019redcap; @wickham2014tidydata; @wickham2023r4ds; @little2019missing; @vanbuuren2018missing]. These sources support the chapter's emphasis on reproducibility, traceability, well-structured data, careful missing-data interpretation, and documented cleaning decisions. Learners should use them alongside study-specific documents such as the protocol, CRF completion guidelines, data dictionary, data management plan, and statistical analysis plan. ---