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How to Ensure Data Integrity in the Lab

Published online at Lab Manager.

by Graham McGibbon and Andrew Anderson

Data integrity is key in a strategic approach to reduce risks to processes and products. In this article, Graham McGibbon and Andrew Anderson discuss how informatics systems allow an organization to get the most out of their data by reducing the time spent processing and analyzing data.

According to the FDA, "data integrity refers to the completeness, consistency, and accuracy of data. Complete, consistent, and accurate data should be attributable, legible, contemporaneously recorded, original or a true copy, and accurate (ALCOA)." With data integrity being part of the FDA's risk-based strategy, there is also a need for that data to be available and accessible.

Data integrity is particularly challenging in a lab setting because a variety of techniques, data types, and formats are necessary. Since this data is at the heart of the strategic and tactical decisions organizations make on a daily basis, it's more important than ever to ensure data integrity in the lab. So, if you are interested in maximizing productivity and accelerating decision making, here's an overview of how to make that happen.

Read the full article online at Lab Manager