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 ...
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 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, ...
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 ...
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 ...
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 ...
Once a promising but mostly supportive tool, artificial intelligence now stands at the center of how businesses manage and interpret customer data. Its capabilities are reshaping industries, enabling ...
Social media data are increasingly being analysed to support disaster preparedness, response, and recovery. A new ...
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