Data-driven enterprises do exist today. These organizations capture and reinforce the value of their data by constantly surrounding it with context — describing where it’s from, who has access, and ...

This project will focus on the key characteristics of a 21st century data infrastructure, including topics such as governance, the technical skills needed, and data sharing. The existing data ...

Modern analytics cannot be developed by just bringing in data analysts, data scientists, and machine learning engineers, it requires empowering them with the right set of technology. Creating an ...

Data used to inform NICE guidance should be reported transparently and be of good provenance and fit for purpose in relation to the research question. The primary aims of this section of the framework ...

Volume, velocity and variety characteristics of information assets are not three parts of Gartner’s definition of big data, it is part one, and oftentimes, misunderstood. Most people only retain about ...

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 ...

The new FAIR guidelines aim to help pharma realise the full potential of data. As the amount of data available to pharmaceutical companies continues to accelerate at a rapid pace, it is becoming ...