Data Flow in Clinical Research

Data flow describes the movement of information from its origin to its final use. A common flow begins with source documents, continues through CRFs or eCRFs, enters the electronic database, undergoes validation and cleaning, becomes an analysis dataset, appears in reports or dashboards, and is finally archived or shared under governance controls. Understanding data flow is essential because each transition introduces potential risks.