The Libraries provide guidance for writing Data Management (and Sharing) Plans (DMPs or DMSPs), whether they are required as part of a grant proposal or written electively to support effective ...

The healthcare industry has had a love-hate relationship with patient data. There’s either too much or too little, in the wrong format or siloed so that extracting and sharing it with all the people ...

Data collection is the process of gathering and measuring information used for research. Collecting data is one of the most important steps in the research process, and is part of all disciplines ...

Abstract: As global privacy regulations such as GDPR, CCPA, and DMA continue to evolve, organizations face increasing challenges in balancing regulatory compliance, user trust, and operational ...

A recent influx of digital technology has unlocked tremendous potential for clinical trials. For an industry that has traditionally relied on patients’ paper intake forms and manual data entry into ...

The substantial volume of data collected and analyzed by modern laboratories - irrespective of their sector - means that effective lab data management has never been so important. In this context, ...

Data is the foundation of modern business strategy and the fuel for AI applications. It drives decision-making, optimizes operations, and creates personalized customer experiences, enabling businesses ...

QinetiQ US has secured a five-year, $49.4 million sole-source contract and a two-year task order from the U.S. Army Research Laboratory to help ARL collect and manage sensor data and improve its ...