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The use of well defined service metadata promotes better discovery and reuse of services during design and run time. Service metadata includes information about service interactions and dependencies. It also includes a classification scheme for organizing services based on business objectives, domain, and usage. It also links services to all the supporting artifacts in the specification and provides a placeholder for conformance statements. This enables better reuse across the enterprise and eliminates redundancy.

Information and behavioral models, in conjunction with discovery mechanisms, mediation, classification, traceability from requirement to operation, and interaction logs, enable comprehensive analysis to be performed through-out the life-cycle of artifacts , from design through run-time implementation.

The semantic models managed by the Semantic Infrastructure enable enhanced reasoning.

A capability to analyze data was explicitly cited as a critical goal by CDISC and caEHR stakeholders. From the perspective of the KR, this requirement should perhaps be entitled “Enable Data Integration through Model Alignment,” since it allows users to provide the metadata necessary to enable integration of heterogeneous data sets. Requirements include:

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  • 5.2.5.2.1 - Analyze Sept. 6, 2010 The use of well defined service metadata promotes better discovery and reuse of services during design Information and behavioral models, in conjunction with discovery mechanisms, mediation, classification, traceability from requirement to operation, and interaction logs, enable comprehensive analysis to be performed through-out the life-cycle of artifacts , from design through run-time implementation.
  • 5.2.5.2.2 - Reason Sept. 6, 2010 This category supports reasoning and using an OWL DL representation of models, and research and clinical data. This addresses a requirement from the BRIDG stakeholder communities. (BRIDG) explicitly called for this capability. This also addresses the CDISC requirement for ontologies The semantic models managed by the Semantic Infrastructure enable enhanced reasoning.
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