The structure that organizes Human Data for SAVEN Core.

The Human Data Model is the structured representation that organizes Human Data and preserves context and relationships. It sits between people and later systems so assistance can stay permissioned and accountable.

It matters in SAVEN Core because later layers—such as the Knowledge Engine and AI Decision Support—should use organized context, not informal views of a person. Those layers support human review. They do not replace human judgment.

Organize Human Data so foundation layers and systems can use a shared, limited view of a person.

Keep what may be known, who may access it and why it may be used as structural rules—not optional extras.

Prepare careful assistance pathways for application contexts within stated permissions and limits.

• Consistency — Shared definitions keep the same authorized information from being reinterpreted under conflicting rules.
• Data Separation — Categories stay distinct. Combining categories requires an explicit purpose, permission and review path.
• Privacy — Privacy defines what may be used, why it may be used and who may see it.
• Explainability — Reviewers should be able to see what context informed an assistance pathway.
• Extensibility — New categories may be added only through governed architecture changes, not by informal collection outside the model.
• Interoperability — Exchange with approved external environments stays limited and remains under privacy, security and safety rules.
• Human Oversight — The model supports assistance under human authority. It does not give systems independent decision power over people.

Current public scope defines the Human Data Model as architecture: purpose, principles, category roles, relationships and scope.

Public material presents the Human Data Model as architecture: purpose, principles, category roles, relationships and scope — not a production or clinical system.

Detailed schemas, permission matrices and change-event designs are covered in related registry topics.