# emotionaldatamodel.org > The Emotional Data Model (EDM) is an open protocol that defines a governed, > schema-bound representational format for externalising affective context as > a deterministic, model-agnostic data object. EDM provides three implementation profiles: - Essential: 5 domains, 24 fields (lightweight memory platforms) - Extended: 7 domains, 50 fields (journaling, companion AI) - Full: 10 domains, 96 fields (clinical, compliance, certification) Artifacts are encapsulated in the .ddna envelope, a byte-stable container providing canonical serialisation, integrity guarantees, and immutable governance attachment. EDM is not a diagnostic tool, emotion recogniser, or biometric system. Artifacts are issued from explicitly expressed content only. ## Specification - Whitepaper (PDF): https://zenodo.org/records/21490478 - DOI: https://doi.org/10.5281/zenodo.21490478 - Version: v0.8.3 (July 2026) - Authors: Jason Harvey (DeepaData Pty Ltd) - License: CC BY 4.0 (whitepaper), MIT (tooling) ## Schema Profile schemas (choose based on meta.profile value): - Essential: https://github.com/emotional-data-model/edm-spec/blob/main/schema/edm.v0.8.essential.schema.json - Extended: https://github.com/emotional-data-model/edm-spec/blob/main/schema/edm.v0.8.extended.schema.json - Full: https://github.com/emotional-data-model/edm-spec/blob/main/schema/edm.v0.8.full.schema.json - Domain fragments: https://github.com/emotional-data-model/edm-spec/tree/main/schema/fragments - Example artifacts: https://github.com/emotional-data-model/edm-spec/tree/main/examples ## Reference Implementation - edm-spec (MIT): https://github.com/emotional-data-model/edm-spec Canonical schema, validation, and examples. - ddna-tools (MIT): https://github.com/emotional-data-model/ddna-tools Extract, seal, and verify .ddna envelopes locally. Canonical profiles (essential, extended, full). - ddna-reader (MIT): https://github.com/emotional-data-model/ddna-reader Verify and inspect .ddna envelopes. ## Domains The EDM Full profile defines 10 top-level domains (Essential/Extended use subsets): - meta: identity and provenance - core: narrative structure (anchor, spark, wound, fuel, bridge, echo) - constellation: affective topology (emotion, archetype, relational dynamics) - milky_way: contextual framing (who, where, when) - gravity: salience and persistence (weight, decay, recurrence) - impulse: motivational orientation (drive, urgency, directionality) - governance: consent, jurisdiction, retention, and subject rights - telemetry: extraction confidence and model metadata - system: embeddings and compute boundary - crosswalks: external taxonomy mappings ## Contact - Website: https://emotionaldatamodel.org - Email: contact@emotionaldatamodel.org - Commercial services: https://deepadata.com