High-quality data in cancer studies is characterized by several key attributes: accuracy, completeness, consistency, timeliness, and relevancy. Accuracy ensures that the data correctly represents the real-world scenarios. Completeness means that all necessary data points are captured. Consistency implies that the data is reliable across different datasets and studies. Timeliness ensures that the data is up-to-date, and relevancy means that the data is pertinent to the research questions at hand.
