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 ...
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 ...
The healthcare sector is the most vulnerable to data breaches compared to other industries, where protected health information (PHI) breaches cost millions and disrupt critical clinical operations. In ...
Vast amounts of valuable research data remain unused, trapped in labs or lost to time. Frontiers aims to change that with FAIR² Data Management, a groundbreaking AI-driven system that makes datasets ...
On Open Data Day 2025, Frontiers is launching the FAIR² (FAIR Squared™) Data Management Pilot, a first-of-its-kind peer-reviewed service that helps researchers get credited and cited for their work ...