What does data integrity mean in the context of clinical research?

What does data integrity mean in the context of clinical research?

• A. Accuracy, consistency, and reliability of trial data throughout its lifecycle.
• B. Speed of data entry alone.
• C. Number of subjects enrolled.
• D. Compliance with privacy laws.

Answer: (A)

Data integrity in clinical research means that data are accurate, consistent, and reliable throughout the trial lifecycle. This involves capturing data correctly, validating and cleaning it, ensuring completeness, and maintaining consistency from collection to analysis and reporting. It also requires traceability—every data point can be traced back to its source, and any edits or corrections are documented with rationale and timestamps. Strong data integrity relies on good data management practices such as source data verification, validation rules, audit trails, controlled access, and secure storage. Regulators emphasize this because trustworthy data are essential for patient safety and credible study conclusions. The described concept best captures data integrity, whereas speed of data entry, the number of subjects enrolled, or privacy compliance alone do not define data integrity.

Data integrity in clinical research means that data are accurate, consistent, and reliable throughout the trial lifecycle. This involves capturing data correctly, validating and cleaning it, ensuring completeness, and maintaining consistency from collection to analysis and reporting. It also requires traceability—every data point can be traced back to its source, and any edits or corrections are documented with rationale and timestamps. Strong data integrity relies on good data management practices such as source data verification, validation rules, audit trails, controlled access, and secure storage. Regulators emphasize this because trustworthy data are essential for patient safety and credible study conclusions. The described concept best captures data integrity, whereas speed of data entry, the number of subjects enrolled, or privacy compliance alone do not define data integrity.