Data governance, data integrity, and data quality are all widely used terms, but what do they actually mean and how are they connected? Nomenclature is important. Data governance, data integrity, and ...

The pharmaceutical industry’s approach to data integrity has been historically manual, leveraging physical documentation and potentially unreliable paper-based ...

As the adoption of artificial intelligence (AI) and machine learning (ML) grows exponentially across industries, the data these technologies feed on is also under scrutiny. AI provides sharp insights ...

The draft guidance provides recommendations for data integrity for clinical and bioanalytical portions of bioavailability and bioequivalence studies submitted with drug applications. On April 1, 2024, ...

Problems with data integrity are costing large organisations about $390,000 a year on average. What are firms doing to stop bad data from derailing AI? Data flaws can have broad implications and ...