A version of this story appeared in Volume 97, Issue 35 Compared with even 50 years ago, today’s chemistry lab is a very different place. More researchers are carrying out more experiments than ever ...
The idea that scientific data should be FAIR — Findable, Accessible, Interoperable, and Reusable — is one increasingly endorsed by scientific institutions including the United States National ...
FAIR data principles aim to automate data management, paving the way to link data sources, AI, extreme scale, and edge computing with modern scientific data infrastructure to automate and accelerate ...
The FAIR guiding principles were created as a way to help researchers think about their research data and the potential of making these and other research outputs more available to, and reusable by, ...
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