Findable, accessible, interoperable, and reusable (FAIR) data principles are widely mandated by funders across the life sciences, yet the four letters rarely translate into consistent daily practice ...
Every clinical lab generates data, but not all of it remains usable for colleagues, regulators, or even the lab itself months later. In this era of digitized health systems, increased regulatory ...
In research, healthcare and biotechnology, there is a growing need to improve support for the reuse of data. But data sets are often incomplete, lack proper documentation or lack accessibility, making ...
Researchers proposed the original FAIR (findable, accessible, interoperable, and reusable) principles to define best practices to maximize the use of datasets by researchers and machines. Now ...
Recurring stories and special news packages from C&EN. Compared with even 50 years ago, today’s chemistry lab is a very different place. More researchers are carrying out more experiments than ever ...
Is your lab’s data truly working for you, or is it just sitting in silos, buried in spreadsheets, and locked away on individual workstations? As scientific projects grow more complex and collaborative ...
A new PLOS Medicine Perspective argues that the GDPR's individual-focused framework leaves collective Indigenous rights ...
Visualization of Bragg diffraction peaks in an undeformed bi-crystal gold sample. The height denotes photon counts. This data was produced at the Advanced Photon Source and processed at the ThetaGPU ...
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