Data quality in cancer research is assessed using several criteria:
1. Accuracy: Ensuring the data correctly represents the real-world scenario. 2. Completeness: Making sure no key information is missing. 3. Consistency: Data should be stable and consistent across different datasets. 4. Validity: Data should be collected and recorded following standardized protocols. 5. Timeliness: Data should be up-to-date and reflect recent findings.
