"Pharmaceutical Data Integrity: Principles, Challenges, and Regulatory Expectations"

Data integrity is a critical principle in pharmaceutical sciences that ensures the accuracy,

consistency, and reliability of data throughout its lifecycle. It plays an essential role in supporting

trustworthy decision-making in drug development, manufacturing processes, and regulatory

compliance. Reliable data is fundamental for maintaining product quality, ensuring patient

safety, and sustaining scientific credibility. Regulatory authorities such as the FDA, EMA,

WHO, and PIC/S emphasize strict data integrity requirements within Good Manufacturing

Practices (GMP) and other regulatory frameworks. The ALCOA+ principles—Attributable,

Legible, Contemporaneous, Original, Accurate, Complete, Consistent, Enduring, and

Available—provide a structured approach to maintaining reliable and traceable data. However,

challenges such as human error, intentional misconduct, system failures, and cybersecurity risks

may threaten data reliability. Organizational culture, digitalization, and technological

advancements further influence data integrity practices. Therefore, pharmaceutical organizations

must implement robust quality systems, regulatory compliance measures, and continuous

improvement strategies to maintain strong data integrity, ensure regulatory acceptance, and

protect public health globally.