nonUTTOs

NonUTTOs are elements within a data-modeling framework that do not satisfy the criteria of UTTOs (Unified Type and Task Organisation Object). In this framework, UTTOs are standardized items with a defined type tag, a documented schema, and an explicit linkage to tasks or workflows. NonUTTOs, by contrast, either lack a UTTO-type tag, carry an alternative or legacy schema, or fail to map to the standard task graph.

Typical characteristics of nonUTTOs include flexible or undefined schema, absence of a stable identifier, or metadata that is partially malformed. They may originate from legacy systems, unstructured sources, or experimental data. NonUTTOs are not inherently invalid; rather, they require special handling to retain interoperability. In mixed datasets, nonUTTOs are often treated as a separate domain or routed through an adaptation layer before integration with UTTO-compliant items.

Processing nonUTTOs typically involves a normalization step, schema-wrapping, or an adaptation layer that converts to UTTO-compliant representations. Validation pipelines may flag nonUTTOs for review, logging, or automated mapping if possible. In many deployments, nonUTTOs are preserved with explicit provenance to avoid polluting the UTTO graph, and are re-examined when schemas evolve.

Examples of nonUTTOs include raw text records from archival databases, sensor outputs with custom formats, and third-party datasets that lack standard tagging. In environments that mix UTTOs and nonUTTOs, clear provenance, versioning, and documented transformation rules help maintain traceability and interoperability.

See also: UTTO, data standardization, schema mapping, data provenance.