Detailed Explanation
Data cleaning encompasses all activities undertaken to ensure that clinical trial data are accurate, complete, consistent, and suitable for analysis. This process identifies potential errors through programmed validation checks and manual review, investigates discrepancies by querying site personnel, and implements corrections to resolve confirmed errors. Data cleaning occurs throughout the trial as data accumulate and intensifies as the study approaches database lock, when all outstanding issues must be resolved before the database can be finalized.