Emotional Data Model (EDM) v0.5.0

The Emotional Data Model (EDM) v0.5.0 defines a governed, schema-bound representational architecture for encoding affective context as a stable, machine-interpretable data object. Unlike contemporary AI systems where emotional signals remain transient and architecture-bound, EDM externalises affective context into a domain-complete manifold comprising ten mandatory structural domains and 96 explicitly defined fields. The architecture achieves representational stability through explicit field definitions, in-band governance, and strict separation between representation, persistence, and computation layers. Artifacts are preserved within the .ddna envelope—a byte-stable container providing cryptographic integrity via W3C Data Integrity Proofs (eddsa-jcs-2022), sovereignty guarantees, and cross-vendor portability. v0.5.0 expands five canonical enumerations validated through systematic evaluation across three independent LLM providers, achieving 90%+ structural compliance, 77.3% narrative semantic similarity, and 56.5% cross-field semantic agreement. Identity binding is provided through VitaPass, a sovereign identity and consent infrastructure enabling portable, cross-vendor artifact recognition. EDM addresses the representational deficit in current intelligent systems by transforming implicit emotional states into explicit, rights-bearing data objects capable of surviving across model generations, computational paradigms, and regulatory environments.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-02-09
DOI
https://doi.org/10.5281/zenodo.18541956
Primary Topic
Emotion and Mood Recognition
Type
article
Field-Weighted Citation Impact
0.00
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article

Emotional Data Model (EDM) v0.5.0

Jason Harvey
Zenodo (CERN European Organization for Nuclear Research)
Emotion and Mood Recognition
article

Emotional Data Model (EDM) v0.5.0

Jason Harvey
article en

Abstract

The Emotional Data Model (EDM) v0.5.0 defines a governed, schema-bound representational architecture for encoding affective context as a stable, machine-interpretable data object. Unlike contemporary AI systems where emotional signals remain transient and architecture-bound, EDM externalises affective context into a domain-complete manifold comprising ten mandatory structural domains and 96 explicitly defined fields. The architecture achieves representational stability through explicit field definitions, in-band governance, and strict separation between representation, persistence, and computation layers. Artifacts are preserved within the .ddna envelope—a byte-stable container providing cryptographic integrity via W3C Data Integrity Proofs (eddsa-jcs-2022), sovereignty guarantees, and cross-vendor portability. v0.5.0 expands five canonical enumerations validated through systematic evaluation across three independent LLM providers, achieving 90%+ structural compliance, 77.3% narrative semantic similarity, and 56.5% cross-field semantic agreement. Identity binding is provided through VitaPass, a sovereign identity and consent infrastructure enabling portable, cross-vendor artifact recognition. EDM addresses the representational deficit in current intelligent systems by transforming implicit emotional states into explicit, rights-bearing data objects capable of surviving across model generations, computational paradigms, and regulatory environments.

Zenodo (CERN European Organization for Nuclear Research)
Teradata (United Kingdom) (GB)
Industry, innovation and infrastructure
Openalex Percentile: Top 63%
Emotion and Mood Recognition
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