FAIR² Data Management

An intelligent way to organize, share, and publish data - making it AI-ready, reusable and impactful

Frontiers FAIR² Data Management enables you to transform your data into discoverable, reusable, open, and citable contributions.

Our interactive platform effortlessly brings research data to life through intelligent data curation, visualisation and AI-assisted generation of a FAIR² Data Article. Gain recognition for your work, all within one secure, integrated system.

Despite advances in open science, researchers still struggle with fragmented, inconsistently formatted data that is difficult to curate and reuse. FAIR² Data Management simplifies this process by automating metadata enrichment, improving data quality, and ensuring datasets are fully prepared for reuse, analysis, and publication.

Frontiers FAIR² enables open science by making research data accessible, reusable, and verifiable — building transparency, trust, and reproducibility in every field.

The FAIR² Data Management service provides researchers with the tools to curate datasets, create an interactive FAIR² Data Portal, and publish a peer-reviewed FAIR² Data article — ensuring research is reusable, citable, and ready for global impact.

This AI-assisted service helps researchers:

✅ curate and structure their data – organize datasets into a machine-actionable format.

✅ create an interactive FAIR² Data Portal – enable access, visualization, and advanced analysis.

✅ publish a FAIR² Data Article – make research datasets citable, discoverable, and peer-reviewed.

✅ save time and resources – reduce the manual effort of metadata preparation and compliance.

1. Start your submission. Begin within your chosen Frontiers journal by selecting 'FAIR² Data' as the article type in the submission process

2. Upload. Securely upload your dataset to Frontiers FAIR². Our AI data steward Clara helps with metadata and initial preparation

3. Curate. Organise methods and data dictionary, validate quality and consistency with FAIR² standards, and explore your data through visualisations to check completeness.

4. Compose. Draft your FAIR² Data Article with structured methods, metadata, and visual summaries automatically generated from your dataset — supporting alignment and integrity checks throughout.

5. 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.

6. Submit for peer review. Finalise and submit your FAIR² Data Article and portal for peer review and publication in a Frontiers journal. Once accepted, your dataset becomes a citable, open access scientific contribution — certified, preserved, and discoverable.

The FAIR² Data Article is a new article type designed to focus exclusively on a single dataset rather than testing specific hypotheses. This new publication format ensures that high-value datasets receive the same recognition, visibility, and citation opportunities as traditional research articles while remaining accessible and reusable for the global research community.

What makes the FAIR² Data Article unique?

• Dataset-centric: unlike traditional articles, which focus on hypothesis-driven analysis, FAIR² Data Articles are dedicated solely to the dataset, its structure, provenance, and reuse potential.

• Peer-reviewed and citable: ensures that datasets are rigorously assessed for quality, completeness, and adherence to FAIR principles

• Interoperable and AI-ready: published datasets are structured for seamless reuse, analysis, and integration with computational models and AI-driven research.

By publishing a FAIR² Data Article, researchers can enhance the impact of their data, comply with funder mandates, and contribute to a growing ecosystem of reusable, high-quality research data.

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.

See Frontiers FAIR² in action: explore pilot articles:

• Marine biodiversity and environmental data: an AI-ready, open dataset from the long term Basque Country monitoring network

• Structure-based prediction of SARS-CoV-2 variant properties: machine learning on mutational neighbourhoods to predict the behaviour of viral variants

For an introductory period only, the full package 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

CHF 5 500 (up to 50 GB) - available from 13 October 2025

Security and data privacy

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 licence, 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).

• Easy to fund. Eligible as a data management (DMP) or publication (APC) cost.

• No risk before acceptance. Payment is only required after acceptance.

What is FAIR?

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.

How is FAIR² different from FAIR?

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.

What is a FAIR² Data Article?

A FAIR² Data Article is a peer-reviewed, citable publication that describes, certifies, and preserves your dataset — complete with an interactive data portal for exploration and reuse.

How does it support research integrity?

Frontiers FAIR² helps check for consistency between methods, data, and outputs — improving transparency, trust, and reproducibility across the research process.

Who can use Frontiers FAIR²?

Researchers, labs, libraries, and institutions committed to open science, transparency, and reproducibility.

How is it different from a repository?

Frontiers FAIR² goes beyond storage — it curates, checks, certifies, publishes, and preserves your data as a formally recognised research output with lifetime hosting and reuse metrics.

Is my data secure before publication?

Yes. Datasets remain private and accessible only to you, your team, and reviewers until publication.

What happens after publication?

Your dataset becomes open and certified, enabling reuse for research, policy, and innovation — with required citation.

What does it cost?

The limited-time introductory offer is CHF 5 500 (up to 50 GB) and includes curation, certification, publication, custom portal hosting, and lifetime preservation.