Data integrity is an ongoing concern across all R&D organizations, no matter what part of the research lifecycle they’re navigating. These concerns extend beyond the potential for delayed timelines or ...

Randy Barrett is a freelance writer and editor based in Washington, D.C. A large part of his portfolio career includes teaching banjo and fiddle as well as performing professionally. An organization ...

In the current digital landscape, data integrity and security have taken center stage, especially as businesses and institutions continue to depend on digital data. This reliance, however, brings its ...

Algorithms, markets, supply chains and national security systems make real-time decisions based on data as their primary input. Enterprise valuations rest on the integrity and reliability of their ...

Built-in data integrity is a bare minimum requirement in today’s BioPharmaceutical manufacturing. Good Manufacturing Practices (GMP) regulations of the Food and Drug Administration (FDA) highlight the ...

What Is Data Integrity & Why Is It Important? (Definition & Types) Your email has been sent Data integrity ensures the accuracy and reliability of data across its entire life cycle. Learn more about ...

As emphasis grows on managing data in pharmaceutical labs and plants—collecting and storing it, sharing it, mining it for pertinence—a basic question often goes unanswered: Is the data any good? The ...

During the 2017 ISA Food and Pharmaceuticals Industries Division Symposium, I attended an informative presentation, Data Integrity: A Partnership of Business Processes and Technology,- by Marcus ...

Dr. James McCaffrey of Microsoft Research uses a full code sample and screenshots to show how to programmatically normalize numeric data for use in a machine learning system such as a deep neural ...