The key elements of data quality in cancer research include accuracy, completeness, consistency, timeliness, and validity. Accuracy ensures that the data correctly represents the real-world scenario. Completeness ensures that all necessary data points are captured. Consistency refers to the uniformity of data across different datasets. Timeliness ensures that the data is up-to-date and relevant. Validity ensures that the data meets the required standards and formats.
