Data inconsistency refers to discrepancies or contradictions in datasets used for cancer research. These inconsistencies can arise from various sources, including errors in data collection, differences in data interpretation, and variations in data recording methods. In cancer research, ensuring data consistency is crucial for accurate diagnosis, treatment planning, and understanding the disease's progression.
