1. The data standards soup …. 1

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

3. Definitions in scope 4.1 METADATA 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 4.2 CONTROLLED 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 4.3 MASTER DATA MANAGEMENT 4.3.1Master Data 4.3.2(Master) Reference Data 4.3.3Master Data Management 4.4 INTEROPERABILITY Categorization of Interoperability (by HL7) 4.4.1Technical interoperability (“machine interoperability”) 4.4.2Semantic interoperability 4.4.3Process Interoperability 4.5 DATA 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 INTEGRATION: Transformation, mapping or harmonization of data (ETL process) AGGREGATION Additional grouping or derivation of data Dataset 1 Dataset 2 Dataset 3 POOLING Storing data together without changing the datasets