Data integrity in clinical research refers to the accuracy, consistency, and reliability of data throughout its lifecycle, from initial generation through archival. Under ICH E6, data integrity is a fundamental requirement for ensuring that clinical trial results are credible and support regulatory decision-making.

What Is Data Integrity?

Data integrity is guided by the ALCOA+ principles, which require that data be Attributable, Legible, Contemporaneous, Original, Accurate, and also Complete, Consistent, Enduring, and Available. These principles apply to both paper and electronic records. The 21 CFR Part 11 regulation in the United States establishes requirements for electronic records and electronic signatures to ensure their trustworthiness and equivalence to paper records.

Regulatory Framework

Data integrity requirements are embedded throughout ICH E6(R2) and the updated ICH E6(R3) , with particular emphasis on electronic systems and risk-based data management. The FDA and EMA have issued specific guidance documents on data integrity for pharmaceutical good manufacturing practices and clinical research. Regulatory inspectors routinely evaluate data integrity controls during GCP inspections, focusing on audit trails, user access controls, and data backup procedures.

Key Requirements

Clinical trial data must be captured in a timely manner using validated systems with appropriate access controls and audit trail functionality. Any changes to data must be documented without obscuring the original entry, and the reason for the change must be recorded. The sponsor and investigator must implement Quality Management Systems (QMS) that include data verification, validation, and reconciliation processes.

Documentation

Data integrity requires that the Trial Master File (TMF) contain complete, accurate, and traceable documentation of all trial activities. Source data verification by monitors confirms the accuracy of reported data against original records. Electronic systems must generate audit trails that capture the user ID, timestamp, and details of each data creation, modification, or deletion.

Conclusion

Data integrity is essential for the credibility of clinical research and regulatory acceptance of trial results. Adherence to ALCOA+ principles and regulatory guidance protects the scientific value and ethical validity of clinical studies. Sponsors and investigators must prioritize robust data governance throughout the trial lifecycle.