2.3 The Role of SBRM

Return to 2. Background and Motivation

The challenges identified in Section 2.1 and Section 2.2 are not primarily problems of data availability or syntactic standardisation. They are problems of interpretive authority: determining what reported information means, which definitions apply, when those definitions apply, and which analytical, supervisory, or regulatory purpose governs the interpretation.

The Standard Business Report Model (SBRM), developed within the Object Management Group (OMG), directly addresses this problem space. SBRM does not define how systems transmit, store, or transport data. It addresses how systems characterise, distinguish, and govern reported information semantically across systems and over time [R10, R11].

Reporting formats, schemas, and exchange standards define structural and syntactic arrangements. SBRM defines semantic distinctions that implementations might otherwise leave implicit, apply inconsistently, or embed within software, configuration, analytical procedures, or tool-specific logic.

SBRM focuses on the meaning and status of reported information, including:

How a reporting party makes an assertionHow a system derives an observation from a source artefactHow an interpretation applies governed definitions, rules, and contextual assumptionsHow a system distinguishes reported, observed, and interpreted informationHow an organisation evaluates interpretive results within a governed semantic contextThese distinctions support the separation of evidence, observation, and interpretation required by FDIS-RA. They also provide a semantic foundation for traceability, auditability, reinterpretation, comparison, and controlled evolution across reporting periods and independently developed systems.

SBRM does not, by itself, define the complete architecture through which organisations operationalise these distinctions. FDIS-RA places SBRM within a broader Reference Architecture that defines architectural responsibilities, interfaces, governance boundaries, version controls, and lifecycle mechanisms for regulated data interpretation.

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