The open battery
knowledge platform.
Battery Genome is a FAIR data platform for battery cell characterisation data. It brings together curated cell specifications, measurement datasets, and semantic annotations in a single searchable registry — making battery knowledge findable, accessible, interoperable, and reusable for researchers, engineers, and industry.
How it works
Battery Genome is built from four open-source layers, each independently usable.
BattINFO Ontology
Standardised vocabulary for every battery concept — chemistry, format, measurement condition, quantity. Built on EMMO, maintained by the community.
Curated Records
Human-reviewed JSON records for cell types, organisations, and datasets in the battinfo-records repository. Anyone can submit a pull request.
Registry API
A FastAPI service that validates, versions, and serves records as structured JSON-LD over a REST API. Powers search, filtering, and page-model rendering.
This Platform
The Next.js web interface you are using now — browsing, searching, benchmarking, and exploring datasets interactively.
Where this came from
Battery Genome grew out of a recognised need for standardised, machine-readable battery data in the research community.
- 2021
BattINFO ontology initiated
The Battery Interface Ontology project begins, establishing a shared semantic vocabulary for battery science within the EMMO ecosystem.
- 2023
Battery Knowledge Graph launched
A community semantic wiki goes live at battery.knowledge-graph.eu, cataloguing organisations, materials, and processes with persistent identifiers.
- 2024
Registry and curation pipeline built
The battinfo-registry API and battinfo-records curation repository are established, enabling structured publication of cell-type and dataset records.
- 2026
Battery Genome platform launches
Public launch at the Battery 2030+ Annual Conference in Turin, Italy (May 2026), opening the registry and platform to the broader community.
Associated projects
Battery Genome is part of a broader open-science ecosystem for battery research.
BattINFO
↗The Battery Interface Ontology — a domain ontology for battery science built on EMMO. Provides the standardised vocabulary used throughout the registry.
Battery Knowledge Graph
↗A community-maintained semantic wiki of battery materials, organisations, and processes. Battery Genome imports organisation records from the BKG and links back to it.
EMMO
↗The European Materials Modelling Ontology — the upper-level ontology on which BattINFO is built. Ensures interoperability with the broader materials modelling ecosystem.
battery-data-format
↗Open specification and tooling for structured battery measurement data files. Battery Genome uses this format for all uploaded time-series datasets.
Supported by
Battery Genome is developed with support from public research funding bodies and industry partners.
The platform is developed at SINTEF Industry in Norway. Funding has been provided through European and national research programmes focused on battery technology, open science, and materials interoperability. Specific grant acknowledgements will be listed here at launch.
Frequently asked questions
Is the data freely available?+
Yes. All records in the Battery Genome registry are published under open licences (CC BY 4.0 unless stated otherwise). The platform itself is open source.
How do I contribute my data?+
Use the BattINFO Python package to initialise a contribution folder, add your CSV measurement files, and run the process command to build a validated workspace. You can then publish directly to Zenodo, after which the record can be submitted to the registry. See the Registry documentation for a step-by-step guide.
What cell formats and chemistries are covered?+
The registry covers all common formats (cylindrical, pouch, prismatic) and chemistries (LFP, NMC, NCA, LCO, LTO, sodium-ion, and more). Coverage expands as contributors submit records.
How do I cite Battery Genome?+
Citation guidance will be published alongside the launch paper. In the meantime, please reference the platform URL and the BattINFO ontology publication.
How is the data quality assured?+
Records go through an automated validation pipeline (unit checks, schema conformance, plausibility bounds on derived quantities) and an editorial review step before publication. Each record carries a review_status field (stub → curated → verified).
Can I use Battery Genome data in commercial projects?+
CC BY 4.0 permits commercial use with attribution. Some records may carry more restrictive licences — always check the licence field on the individual record page.
Who can I contact with questions?+
Open an issue on the GitHub repository or reach out via the contact address listed on the SINTEF research group page.
Get involved
Battery Genome is community-driven. Contribute cell records, report issues, improve the ontology, or share your datasets — every contribution makes the resource more useful for everyone.