Advancing Open Science in Batteries and Electrochemistry: A Collection of FAIR² Data Articles

The batteries and electrochemistry field generates enormous volumes of experimental data - cycling curves, degradation trajectories, electrochemical impedance spectra, formation protocols, and materials characterisation datasets - yet the vast majority remains siloed in lab servers, inconsistently formatted, or deposited in basic repositories without the metadata needed for reuse. This lack of structured, machine-actionable data is a bottleneck for AI-driven discovery, reproducible science, and the kind of cross-lab benchmarking the field urgently needs.

This Research Topic invites FAIR² Data Articles reporting high-value datasets in batteries and electrochemistry. FAIR² (FAIR Squared) extends the established FAIR principles — Findable, Accessible, Interoperable, Reusable — by adding AI-readiness, ethical governance, and a structured specification that makes datasets ready for computational analysis and machine learning. Each submission produces a peer-reviewed, citable article alongside an interactive data portal, giving researchers formal recognition for data they have already generated.

We welcome datasets covering, but not limited to: lithium-ion, sodium-ion, solid-state, and next-generation battery chemistries; electrochemical cycling and ageing studies (calendar and cycle); electrochemical impedance spectroscopy (EIS); formation protocols; fast-charging experiments; real-world electric vehicle usage data; electrode and electrolyte characterisation; and battery management or state estimation datasets. Datasets from any scale - coin cell to pack - are in scope.

By collecting these contributions within a single Research Topic, we aim to build a curated, community-accessible resource that accelerates data-driven battery research, supports funder mandates (such as NIH, Horizon Europe, UKRI), and raises the visibility and citation impact of the experimental work underpinning the field’s progress.

Article types and fees

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

• Editorial
• FAIR² Data
• Mini Review
• Original Research
• Perspective
• Review

Articles that are accepted for publication by our external editors following rigorous peer review incur a publishing fee charged to Authors, institutions, or funders.

Article types

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

• Editorial
• FAIR² Data
• Mini Review
• Original Research
• Perspective
• Review

Keywords: FAIR data, open science, battery datasets, electrochemical data, cycling data, impedance spectroscopy, lithium-ion batteries, data sharing, AI-ready data, reproducibility, data article

Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.