Emotional Data Model (EDM) v0.6.0

The Emotional Data Model (EDM) v0.6.0 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 structured manifold with 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. v0.6.0 introduces three Implementation Profiles — Essential (24 fields, 5 domains), Extended (50 fields, 8 domains), and Full (96 fields, 10 domains) — enabling adoption across deployment contexts from lightweight to full governance and compliance use cases. Profile Completeness replaces the prior Domain Completeness invariant, enforcing that artifacts contain only the domains and fields declared by their profile. Three conformance levels are defined: Compliant, Sealed, and Certified, with Certified conformance exclusively available to Full Profile artifacts. Canonical enumerations were validated through systematic evaluation across three independent LLM providers, achieving 90%+ structural compliance, 77.3% narrative semantic similarity. Optional identity binding enables portable, cross-vendor artifact recognition without coupling the representational layer to any specific identity infrastructure. 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.