Data integrity is vital for the success of any business, laboratory or institution that deals with the generation, manipulation or storing of data. The integrity of data refers to many aspects of data ...

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 ...

Data governance is necessary for compliance with current regulatory expectations for data integrity in pharmaceutical R&D and manufacturing organizations. A company should consider whether it has a ...

The burgeoning reliance on cloud infrastructures has elevated the importance of securing data storage and ensuring its integrity. Cloud storage security encompasses a range of strategies aimed at ...

What pharma companies need to know about this important area Pharmaceutical facilities consist of various processes like calibration, validation and qualification. All these processes need to follow ...

An edge-based blockchain tool makes IoT data tamper-proof, giving AI the trusted inputs for accurate and reliable decision-making in real time. Artificial intelligence is no longer confined to labs or ...

Confidentiality ensures that secrets embedded in the chip, such as the IP design itself, the configuration data, and secret keys, are protected from unauthorized access. Integrity focuses on ensuring ...