Consistency across data sources ensures that the data collected from different sites or studies can be integrated and compared accurately. This is particularly important in multi-center clinical trials and large-scale epidemiological studies where data needs to be pooled to draw meaningful conclusions. Inconsistent data can lead to misleading results and hinder the generalizability of research findings.
