What should be done with data queries?

• A. Archive promptly and accurately
• B. Ignore them
• C. Delete data
• D. Resolve promptly and accurately

Answer: (D)

Data queries are raised when data values don’t align with the source documents or show inconsistencies, and the aim is to fix those issues so the dataset remains accurate and auditable. Resolving them promptly and accurately ensures the data reflect the true study results and keeps the analysis plan on track. The process involves checking the source data or system logs, applying any approved corrections, and documenting exactly what was changed, who approved it, and when. Doing this quickly minimizes delays in database lock and maintains data quality throughout the trial, which is essential for regulatory compliance and reliable conclusions. Archiving is part of the data lifecycle, but it should come after queries are resolved; archiving an open issue would hide the problem. Ignoring queries or deleting data would leave inaccuracies in the record and break integrity and traceability.