FAIR² helps streamline data preparation and curation, making it easier to publish high-quality datasets while researchers remain in control of their work.
✔ Dataset-centric
✔ Peer-reviewed and citable
✔ AI-ready
Make your data count ▶️ https://t.co/s3kz5z5gxt
What does it take to move from FAIR principles to FAIR² in practice?
Join us for a live webinar exploring how FAIR² Data Management is transforming the way research data is shared and cited.
📅 2 June 2026
09:00–10:30 CEST | 15:00–16:30 CEST
💻 Online via Zoom
Register ⬇️
Too much valuable research data goes unused.
FAIR² transforms datasets into discoverable, citable, and reusable research outputs built for long-term impact.
Make your data count ➡️https://t.co/XPuTXZsDgx
Heading to #BiblioCon2026 in Berlin? Join Frontiers & ZBMed on 21 May, 12:45, Room VIII.
We’re reflecting on 3 years of Germany’s fully open access national consortium & previewing FAIR², our new AI-powered research data platform. ⬇️
#OpenScience#ResearchData#OpenAccess
Meet Frontiers at #BiblioCon2026
From 19–22 May, we’ll be in Berlin connecting with librarians, publishers, and research institutions across the DACH region to discuss open access, institutional partnerships, and FAIR² capabilities. ⬇️
#OpenAccess#OpenScience
Coming soon: Neuroscience Data in Frontiers in Neuroscience.
A new home for FAIR² Data Articles featuring peer-reviewed, citable, interoperable, and AI-ready neuroscience datasets.
Learn more about FAIR² Data Management ➡️ https://t.co/XPuTXZsDgx
Join Frontiers for an interactive webinar exploring how FAIR² Data Management is transforming the way research data is shared, cited, and reused.
• 2 June 2026 | 09:00 – 10:30 CEST
• 2 June 2026 | 15:00 – 16:30 CEST
Online via Zoom
Register now ⬇️
How does FAIR² Data Management work?
From submission to publication, your data is curated, structured, and turned into a citable, reusable research output.
🔗 https://t.co/NoYeWFtgGu
Your data can become more than supplementary material.
FAIR² transforms datasets into structured, interactive, AI-ready research outputs designed for reuse, discovery, and impact.
Explore FAIR²➡️
https://t.co/NoYeWFtgGu
T-CAIREM members Laura Sikstrom, Sean Hill (@wake_sleep), and Marta Maslej published "Fairness analysis of machine learning (#ML) predictions of aggression in acute #psychiatric care," in @NPJ Digital Health!
https://t.co/X82l6Zn19r
#MedTwitter#AImedicine#AI#HealthAI
New Anthropic research: Emotion concepts and their function in a large language model.
All LLMs sometimes act like they have emotions. But why? We found internal representations of emotion concepts that can drive Claude’s behavior, sometimes in surprising ways.
You don’t need a brain to benefit from a good night of sleep. Despite lacking a central nervous system, jellyfish and sea anemones have sleep patterns remarkably similar to those of humans, researchers report.
Learn more: https://t.co/4mUggpVP0x @NewsfromScience
New FAIR² Data Article https://t.co/RRq1efJWie and Data Portal https://t.co/LuAb573wXW on brain diffusivity after controlled cortical impact. A fully FAIR²-compliant, AI-ready dataset to advance neurotrauma research.
#FAIRData#FAIRSquared#Neurology
@MarkHahnel Totally agree that FAIR for machines is essential. With FAIR², we’re focused on making FAIR work exceptionally for both humans and machines. I believe human understanding and machine interoperability together create the strongest collaboration.