YOUR GO-TO INTELLIGENCE RESOURCE FOR THE SCHOLARLY PUBLISHING INDUSTRY

Frontiers has launched the FAIR^² (FAIR Squared^™) Data Management Pilot, a first-of-its-kind peer-reviewed service designed to help researchers get credited and cited for their data while making it AI-ready, reusable, and impactful.

Unveiled on Open Data Day 2025, FAIR^² Data Management leverages AI-assisted curation to structure research data for publication, making it easier to find, reuse, and analyze—both by humans and machines. This ensures that researchers can focus on discovery rather than data preparation, while improving data accessibility, efficiency, and reproducibility.

Each year, billions of dollars in research value are lost due to data being fragmented, inaccessible, and difficult to reuse. Researchers spend significant time cleaning datasets instead of making discoveries, while funders increasingly require data publication without providing adequate tools. FAIR^² Data Management addresses these challenges by turning datasets into structured, machine-actionable resources.

Powered by Senscience, Frontiers’ AI venture, FAIR^² Data Management goes beyond the traditional FAIR principles (Findable, Accessible, Interoperable, Reusable) by ensuring datasets are ready for AI-driven analysis. It provides researchers with an AI Data Steward to automate data organization, improve governance, and create:

• FAIR^² Data Packages for structured storage and sharing

• Interactive Data Portals for exploration and AI-assisted insights

• Peer-reviewed FAIR^² Data Articles published in Frontiers journals to maximize recognition and citations

The first peer-reviewed FAIR^² Data Article and FAIR^² Data Portal, published today, showcase AI-assisted data curation in action. Led by Dr. Ángel Borja of AZTI Foundation (Spain), the dataset—spanning nearly three decades of marine biodiversity monitoring in the Basque Country—has been transformed into an AI-ready resource, making long-term environmental data more accessible and reusable.

Frontiers invites researchers to apply for the limited-time FAIR^² Data Management pilot, which includes a full waiver covering all service fees. Participants will gain access to AI-powered data stewardship, improved dataset visibility, and structured workflows for publishing and sharing machine-actionable research data.