What should data reconciliation across sites demonstrate?

• A. Comparing data with source data on a regular basis to ensure accuracy
• B. Disregarding discrepancies
• C. Archiving data without validation
• D. Reconciliation is optional

Answer: (A)

Data reconciliation across sites is about ensuring data integrity by regularly comparing what’s recorded at each site with the original source data to confirm accuracy. This routine cross-checks help detect and fix errors, inconsistencies, or drift between systems, so that all locations reflect the same, correct information. That’s why the best choice emphasizes comparing data to source data on a regular basis to verify accuracy—the heart of trustworthy, harmonized data across sites.

Disregarding discrepancies would let errors slip through and undermine reliability. Archiving data without validation skips the crucial step of confirming accuracy before keeping records. Saying reconciliation is optional ignores the fundamental need for consistent, verified data in multi-site environments.