Data flow refers to the movement of information from collection to analysis.
A typical flow includes:
Source Documents → CRFs → Electronic Database → Cleaning → Analysis Dataset → Reports → Archive
At each stage, controls are implemented to ensure quality.
Examples include:
- Double data verification.
- Validation rules.
- Audit trails.
- Query management systems.
- Access controls.
Understanding data flow helps identify risks and opportunities for automation.