Sources of Data Quality Problems

Data quality problems can arise at any point in the clinical research lifecycle. They may originate in the protocol, CRF design, database configuration, site workflow, source documentation, data entry, monitoring, data transfers, or analysis preparation. Understanding sources of quality problems helps teams prevent them rather than merely reacting after they appear.