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• Query and retrieve Value Sets
• Support integrative analysis across multiple disciplines
• Query and aggregate data across organizations, data sets, time, and geographies.
• Integrate clinical trial data with health record data. By multiple data sets CDISC means different clinical trials, data sets from different Electronic Health Record (EHR) systems, and the interoperability of clinical trial and EHR data sets. At a minimum the Knowledge Repository should be able to identify those data sets that are constructed from or map to the Knowledge Repository's information models, model elements, and alignment assertions among these models. Thus, an approved alignment between a local information model and (for example) a specific CDISC standard would be an assertion that new models could map to. This linkage from the Knowledge Repository to specific data sets that instantiate information models sets the stage for full model analysis.

Functional Profile

• 5.2.5.2.1 - Analyze Sept. 6, 2010 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 The semantic models managed by the Semantic Infrastructure enable enhanced reasoning.

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