Data integrity is vital for the success of any business, laboratory or institution that deals with the generation, manipulation or storing of data. In this article, we look at what data integrity is, ...

But with that power comes vulnerability, and one of the most pressing—yet often overlooked—threats today is data poisoning.

Data integrity is the assurance that the data is accurate, consistent, and has business context. In this article, we will explore the three W's of data integrity: Who, Why, and What.

To prioritize data integrity in the lab, companies must implement good data practices throughout the R&D process.

Better Data, Better Outcomes While the adoption of generative AI is on the rise, the linchpin to success lies in data integrity.

Given data integrity issues that have been uncovered in the past, in April 2024, the U.S. Food and Drug Administration (FDA) published a draft guidance to applicants and testing site management on ...

Document management and data integrity are a key focus of regulatory inspections, with both EU and FDA inspectors increasingly observing violations during GxP inspections.

In the era of ML, this mindset must change. If data sets don't sufficiently represent failures and outliers, the algorithms will have deficiencies in their learnings, and the predictions those ...

In this interview, AZoM talks to Simon Taylor from Mettler Toledo's Titration product group, about data integrity, boosting it in Karl Fischer titration and why it's important to do so.