In this episode, we explore a growing opportunity for researchers: turning their datasets into recognized, reusable, and citable scientific contributions.
Too often, datasets sit unused—buried in supplemental materials or left unpublished entirely. But what if those datasets could become a first-class research output in their own right?
Enter the FAIR² Data Article, a new article type from Frontiers that focuses not on findings, but on the dataset itself—how it was collected, structured, and how others can reuse it. We discuss how these articles come with structured, AI-ready data packages, interactive portals, and rich metadata that make reuse easy and powerful.
We also dive into one of the most exciting aspects of the FAIR² platform: the built-in AI Data Steward, a smart assistant that helps researchers clean, structure, document, and publish their datasets—without getting bogged down by technical overhead.
If you’ve got tabular data—whether from a past study or an unpublished project—this episode will show you how FAIR² can help you share it responsibly, extend its impact, and get the credit you deserve.
🔗 Apply to join the pilot: frontiersin.org/about/fair-data-management
🌐 Learn more at: fair2.ai
📰 Subscribe to FAIR² Pulse: senscience.substack.com
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