The Purpose of Data Cleaning and Preparation

Cleaning identifies and resolves data quality issues. Preparation makes data usable for review, reporting, analysis, archival, and sharing. R supports reproducibility when raw inputs are preserved, scripts are explicit, outputs are separated, and clinical corrections remain traceable through the source database.