What are ALCOA principles and how do they support GLP data integrity?

• A. ALCOA means archived, legal, controlled, organized, accessible.
• B. ALCOA stands for Audit, Log, Check, Onto, Archive.
• C. ALCOA is irrelevant.
• D. ALCOA stands for Attributable, Legible, Contemporaneous, Original, Accurate.

Answer: (D)

ALCOA principles define the essential attributes of reliable data in GLP programs. They ensure data integrity by describing how data should be created, recorded, and preserved so that it remains trustworthy throughout a study and through audits.

Attributable means every data point can be linked to the person who created or modified it, including who performed the action and when. This creates accountability and an auditable trail, so it’s clear who was responsible for each entry or change.

Legible requires data to be clear and readable, reducing the risk of misinterpretation or misrecording. If handwriting is unclear or electronic notes are ambiguous, the data’s usefulness in decision-making and regulatory review is undermined.

Contemporaneous emphasizes recording observations at the time they occur, or as soon as possible thereafter. This minimizes memory-driven errors and retroactive alterations, helping to preserve the timing and context of observations.

Original refers to the first capture of data or the primary source record, not a later summarized or transformed version. Preserving the original data helps maintain the authenticity and traceability of the information.

Accurate means the data are correct and precise, reflecting what actually occurred. Accuracy supports reliable conclusions, proper labeling, correct calculations, and compliance with study protocols.

Together, these principles underpin GLP data integrity by ensuring data are traceable, readable, timely, authentic, and correct, which is critical for inspections, regulatory decisions, and the credibility of study findings. The other options do not reflect the standard GLP definition of ALCOA and would not provide the same assurances about data integrity.