The quality of data is crucial in determining the validity of cancer research findings. Issues such as missing data, inconsistent definitions of variables, and errors in data entry can significantly skew results. High-quality data requires standardized collection methods and rigorous validation processes. Data quality is essential for producing replicable and reliable research outcomes, which form the basis for clinical guidelines and policy decisions.
