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 ...

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 ...

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 proposed policy aims to strengthen the management, sharing and reuse of research data funded by the Australian Research Council, based on the FAIR principles of findability, accessibility, ...