Compatibility is essential because it ensures that data integration from various sources leads to valid and reliable inferences. Incompatible data can result in misleading conclusions, affecting public health interventions and policies. For instance, if data from different studies cannot be harmonized due to methodological discrepancies, the overall assessment of a health risk may be flawed.
