Every day, researchers generate valuable datasets. But many of them never get shared—let alone reused. Why? Because data sharing still feels hard: confusing formats, missing documentation, and no clear roadmap. For many, it’s not part of their training. It’s just another overwhelming task.
In this episode, we unpack the very real barriers to sharing research data—and introduce a way forward. FAIR² is an open specification designed to make research data not only open, but AI-ready, responsibly shared, and documented with context. And FAIR² Data Management—a service offered by Frontiers and powered by Senscience—helps researchers apply this framework without needing to become data experts.
We dive into how the platform’s AI Data Steward supports everything from structuring spreadsheets to drafting FAIR² Data Articles. You’ll learn why this matters not just for open science, but for recognition, reuse, and real-world impact.
If you’ve ever thought, “I’d love to share my data, but I don’t know where to start,”—this episode is for you.
Links mentioned:
🔗 Learn more about FAIR²: fair2.ai
📬 Subscribe to The FAIR² Pulse: senscience.substack.com
✅ Apply to join the FAIR² pilot: frontiersin.org/about/fair-data-management
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