Preparing Datasets for Analysis and Reporting

Clinical data preparation often involves creating datasets that are easier to analyze or report. This may include selecting relevant variables, joining data across instruments, reshaping repeated measures, deriving endpoint variables, and applying labels. Data managers and statisticians should collaborate closely at this stage. The data manager understands the database structure, CRF logic, query history, and operational context. The statistician understands the analysis plan and statistical requirements. Both perspectives are needed.