Neuroscience ontologies, schemas & standards

The map of neuroscience ontologies & schemas.

A curated, automatically evaluated catalog of neuroscience ontologies, schemas, vocabularies and data standards. Every entry is scored against the FAIR principles, ontology quality, maintenance and community adoption, with the exact version evaluated and full provenance.

Resources
57
Categories
11
Adopting projects
83
Avg. score
39

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Ontology A99

CLCell Ontology

The reference ontology of cell types across organisms, with a large and growing branch of neuron and glial types.

Cell Types 2026-06-08
OWLOBOJSON FAIR 48/48 · 8 adopters
Ontology A96

UBERONUber-anatomy Ontology

A cross-species anatomy ontology covering animals, with extensive coverage of nervous system structures. It is the common anatomy backbone for many cell, expression and phenotype resources.

OWLOBOJSON FAIR 47/48 · 13 adopters
Ontology A94

GOGene Ontology

Describes gene product functions, processes and locations, including synaptic transmission, neurotransmitter release and neuron development.

OWLOBOJSON FAIR 48/48 · 6 adopters
Ontology A94

MONDOMondo Disease Ontology

A unified disease ontology that merges many disease resources, with comprehensive coverage of neurological and neurodevelopmental disorders.

Disease & Phenotype 2026-10-06
OWLOBOJSON FAIR 48/48 · 6 adopters

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Ontology A86

HPOHuman Phenotype Ontology

Standard vocabulary of phenotypic abnormalities in human disease, with a large nervous system abnormality branch used in rare-disease diagnostics.

Disease & Phenotype 2026-09-01
OWLOBOJSON FAIR 45/48 · 2 adopters
Data standard C58

BIDSBrain Imaging Data Structure

A community standard for organising and describing neuroimaging and related data (MRI, EEG, MEG, iEEG, PET, microscopy, and more). Its rules are published as a machine-readable YAML schema.

YAML schemaJSON FAIR 24/48 · 3 adopters
Schema E35

BICAN modelsBICAN Knowledge Graph Models

LinkML data models for the BRAIN Initiative Cell Atlas Network (BICAN) knowledgebase: taxonomies, assertions and evidence, library generation, anatomical structures, genome annotation, donors and a BICAN subset of Biolink. JSON Schema and Pydantic models are generated from the LinkML sources.

LinkMLJSON SchemaPydantic FAIR 16/48 · 2 adopters
Schema D44

openMINDS

A set of metadata models and controlled terms for neuroscience graph databases, covering datasets, subjects, methods, software, models and brain atlases (SANDS).

JSON SchemaJSON-LD FAIR 22/48 · 1 adopter
Schema D53

DANDI schemaDANDI Archive Metadata Schema

The metadata models of the DANDI neurophysiology archive. Pydantic models in the dandischema library define Dandiset and asset metadata; versioned JSON Schemas plus a JSON-LD context are generated from them and published in the dandi/schema repository. The library also converts Dandiset metadata to DataCite for DOIs.

JSON SchemaJSON-LDPydantic FAIR 24/48 · 1 adopter
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Beyond neuroscience

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NeuroSchema covers neuroscience. For ontologies and schemas in every other field, from life sciences, chemistry and earth science to engineering, privacy, law and computing, use our sister catalog SchemaScope. It is scored with the same rubric.

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