ISO/IEC 11179-35:2023

ISO/IEC 11179-35:2023 defines the metamodel for model registration within the ISO/IEC 11179 metadata registry framework, helping organizations structure and manage metadata-related model information in a consistent way. As a supporting document within the parent ISO/IEC 11179 series, it is relevant where teams need a clear technical basis for documenting, registering, and evaluating models used in data governance and enterprise information management. For engineering, compliance, and procurement workflows, it can serve as a reference for disciplined metadata handling and technical review.

Overview of ISO/IEC 11179-35:2023

The technical focus of ISO/IEC 11179-35:2023 is the metamodel used for model registration, which supports a controlled approach to representing model information in metadata registries. It is typically consulted by organizations that need operational consistency across documentation, data governance, and registry-based processes. In practice, it helps frame how model-related records are organized, evaluated, and maintained, supporting technical assessment, verification activities, and documented evaluation within compliance workflows.

Compliance applications of ISO/IEC 11179-35:2023

Organizations may use ISO/IEC 11179-35:2023 when preparing metadata registry implementations, managing enterprise data assets, or aligning internal information models with a structured registration approach. It can be relevant to teams handling engineering documentation, technical validation, and conformity assessment preparation, especially where clear model registration is needed to support quality workflows and regulatory preparation. The reference may also assist procurement and governance teams reviewing whether metadata practices are sufficiently defined for long-term operational use.

Importance of compliance with ISO/IEC 11179-35:2023

Using ISO/IEC 11179-35:2023 as a reference can improve consistency in how model information is registered, reviewed, and reused across systems. That consistency supports interoperability, reduces documentation ambiguity, and helps lower risk during technical assessment and audit preparation. For organizations involved in structured data management, it can strengthen quality assurance and testing workflows by making metadata records easier to verify and compare. It also supports procurement decisions when a documented evaluation of registry capabilities is required.

• Structured metamodel guidance for model registration within the ISO/IEC 11179 framework
• Useful for metadata registry design, governance, and controlled documentation practices
• Supports verification activities, technical review, and conformity assessment preparation
• Helps improve operational consistency across data management and quality workflows