Sharing and reusing research data remains a challenge for many researchers: preparing datasets takes time, compliance requirements are complex, and recognition is often limited.

Join us to discover how Frontiers FAIR² Data Management is transforming the way research data is shared, cited, and reused.

As the first end-to-end data publishing service, FAIR² integrates curation, certification, peer review, and long-term hosting into one streamlined workflow—giving researchers a powerful way to increase the visibility and impact of their datasets.

With the help of Clara, the AI Data Steward, you’ll see how metadata preparation, compliance checks, and certification can be simplified, ensuring your datasets are both trustworthy and AI-ready.

Built on the FAIR² Open Specification, this framework extends the well-established FAIR principles by adding AI-Readiness and Responsible AI practices, and is governed by the FAIR² Alliance to guarantee openness and community trust.

Through real-world examples — from peer-reviewed Data Articles to interactive data portals — the webinar will demonstrate how FAIR² Data Management can strengthen reproducibility, enhance collaboration, and give lasting recognition to your data contributions.

Don’t miss the opportunity to learn how to make your research data work harder, travel further, and be responsibly reused in the AI era.