Data is the most valuable currency we have. Yet most scientific data never fuel the discoveries they should, because they’re poorly documented, hard to reuse, or completely inaccessible. What if you could simply and efficiently make your research data easier for other scientists to find, reuse, and cite?
FAIR² ('fair squared') Data Management is the world’s first complete, AI-powered data management service, designed to maximize the impact of your work.
Ready to publish your data? Find out how to get started >
Frontiers’ FAIR² data platform orchestrates the entire data publishing lifecycle, transforming raw research data into a fully developed, AI-ready ecosystem built to last for decades. Through a single submission, our interactive platform brings your data to life, creating:
a citable, peer-reviewed article published in a Frontiers journal
a data portal that visualizes your research and allows for sophisticated analysis
a certified data package that’s hosted for the long term.
Our AI-powered processes organize, clean, and standardize data in minutes instead of weeks, combining intelligent curation and visualization with rigorous quality standards.
The result is a seamless transition from raw input to publication-ready data that researchers can cite, publishers can confidently host, and machines can use responsibly.
Assistant Professor, HKUST, Guangzhou
Frontiers FAIR² Data Management amplifies research visibility by making data highly visible, interactive, and open. The platform uses AI-driven curation and visualization to produce FAIR² Data Articles, which serve as both a formal citation and an engaging public portal.
A new article type, the FAIR2 Data Article is dedicated solely to the dataset, its structure, provenance, and reuse potential. This differs from traditional articles, which focus on hypothesis-driven analysis.
But – just like any article published by Frontiers – the FAIR² Data Article is peer-reviewed and citable.
This ensures that high-value datasets receive the same recognition, visibility, and citation opportunities as traditional research articles as well as being AI-ready, machine-readable, accessible, and reusable for the global research community.
An interactive portal mapping biodiversity and environmental data across 310 Indo-Pacific atolls, curated by a Frontiers Planet Prize champion.
An AI-ready dataset linking municipal waste, emissions, and socioeconomic drivers for 43 countries curated by a Frontiers Planet Prize champion.
This dataset comprises 343 diffusion-weighted MRI scans from rats subjected to controlled cortical impact (CCI) or sham procedures at four independent research sites.
A structure-enriched resource of theoretical and empirical SARS-CoV-2 spike receptor-binding domain (RBD) variants, developed under the STAYAHEAD project for pandemic preparedness.
Your research is valuable – and we protect it.
Before publication: All data remain private within your secure, integrated Frontiers FAIR² system and are never used outside it.
After publication: Your dataset becomes open under the ODC-BY 1.0 license, enabling reuse for research and
innovation — with mandatory citation of the FAIR² Data Article.
You keep the rights. You retain authorship and formal credit for your published FAIR² Data Article and portal.
Compliance built in. Aligned with major international funder mandates (e.g. NIH, Horizon Europe, UKRI).
You'll bring together your research data and select the records that you would like to prepare for publishing. FAIR² automates the curation, visualization, and generation of a FAIR² Data Article – all for your review.
Your data | A summary of your methods | Permission to use the data |
|---|---|---|
You can upload CSV, TSV or Excel files -they work best for data in a table or spreadsheet layout. If possible, use a tidy layout (each cell = a single value). Small issues are fine - Clara will help convert your data as needed. | Include READMEs, protocols, scripts, papers – anything that explains how the data was collected or processed. The methods context is what makes the data understandable. | You must have the rights to share any data you upload - either because you own the data or have obtained permission from the owner to publish it. Always remove or de-identify personal and sensitive information before uploading it. |
Start your submission. Begin in your chosen Frontiers journal by selecting 'FAIR² Data' as the article type in the submission process
Upload. Securely upload your dataset and our AI data steward, Clara, helps with metadata and initial preparation
Curate. Organise methods and data dictionary, validate quality and consistency with FAIR² standards, and explore your data through visualisations to check completeness.
Compose. Draft your FAIR² Data Article with structured methods, metadata, and visual summaries automatically generated from your dataset, with integrity checks throughout.
Showcase. Your FAIR² Data Article automatically includes a custom interactive data portal, tailored to your dataset, with AI chat, visualisations, and notebooks for computation and reuse.
Submit for peer review. Finalise and submit your FAIR² Data Article and portal for peer review and publication. Once accepted, your dataset becomes a citable, open access scientific contribution - certified, preserved, and discoverable.
If you’d like to see more, contact us at fair2@frontiersin.org and we’ll be happy to provide a demo and answer your questions.
In the meantime, here are the answers to a few questions we’re frequently asked.
FAIR data is data which meets the principles of findability, accessibility, interoperability, and reusability. The first step in using or reusing data is to find them. Metadata and data should be easy to find for both humans and computers.
FAIR² ('fair squared') Data Management is the world’s first complete, AI-powered data management service, designed by Frontiers so that researchers can maximize the impact of their work.
Powered by Senscience, the service builds upon the foundational FAIR principles while incorporating advanced AI-driven data stewardship and ethical governance. It provides an intelligent, secure, and integrated system to transform research data into discoverable, open, and citable contributions.
FAIR² builds upon the traditional FAIR principles by introducing AI-readiness, ethical governance, and a structured, open specification that ensures data is not only accessible and reusable but also validated and optimized for modern computational research.
Frontiers FAIR² helps check for consistency between methods, data, and outputs — improving transparency, trust, and reproducibility across the research process.
Researchers, labs, libraries, and institutions committed to open science, transparency, and reproducibility.
Frontiers FAIR² goes beyond storage. Iit curates, checks, certifies, publishes, and preserves your data as a recognized research output with lifetime hosting and reuse metrics.
For an introductory period, the full package costs CHF 5,500 (up to 50 GB), paid only after your work is accepted for publication. This includes everything you need to streamline your work from research to publication of a FAIR² Data Article:
AI assisted data and article curation
Peer-reviewed article publication
Custom-tailored interactive portal design and hosting
Lifetime data hosting
Publishing a FAIR2 article is easy to fund, and is eligible as a data management (DMP) or publication (APC) cost.
Yes. Datasets remain private and accessible only to you, your team, and reviewers until publication.
Your dataset becomes open and certified, enabling reuse for research, policy, and innovation — with required citation.