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The data standards soup ….

The data standards soup …. Metadata. Controlled Terminology. Reference data. Code list. Master data. Data integration. Semantic interoperability. .. Is the most exciting topic you can dream of. Definitions in scope. 4.1 Metadata management 4.1.1 Metadata 4.1.2 Structural metadata

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The data standards soup ….

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  1. The data standards soup…. Metadata Controlled Terminology Reference data Code list Master data Data integration Semantic interoperability

  2. .. Is the most exciting topic you can dream of

  3. Definitions in scope 4.1Metadata management 4.1.1Metadata 4.1.2Structural metadata 4.1.3Descriptive metadata 4.1.4Study Instance Metadata 4.1.5Metadata repository 4.1.6Metadata registry 4.1.7Data element 4.1.8Attribute 4.1.9Class 4.1.10Data type 4.1.11Value level metadata 4.2Controlled Terminology, code systems & value sets 4.2.1Controlled Terminology/controlled vocabulary 4.2.2Code system 4.2.3Dictionary 4.2.4Concept 4.2.5Code 4.2.6Code list 4.2.7Value set 4.3Master data management 4.3.1Master Data 4.3.2(Master) Reference Data 4.3.3Master Data Management 4.4Interoperability Categorization of Interoperability (by HL7) 4.4.1Technical interoperability (“machine interoperability”) 4.4.2Semantic interoperability 4.4.3Process Interoperability 4.5Data aggregation, integration, pooling 4.5.1Data pooling 4.5.2Data integration 4.5.3Data aggregation Link to the WIKI

  4. Metadata

  5. Controlled Terminology“Code list” with CDISC example

  6. Master Data

  7. Interoperability

  8. Data Pooling, Integration, Aggregation Dataset 1 Dataset 2 AGGREGATIONAdditional grouping or derivation of data Dataset 3 INTEGRATION: Transformation, mapping orharmonization of data (ETL process) POOLING Storing data together without changing the datasets

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