1. Statistical databases in theory and practice Part III: Designing statistical databases Bo Sundgren 2008-02-11

2. Conceptual data model and relational data model in normalised form.

3. Concept modelling Define concepts and relations between them Conceptual models and data models Visualise models graphically

4. Rent-A-Video: first object graph

5. Rent-A-Video: elaborated object graph

6. Rent-A-Video: further aspects

7. Relations between two object types one-to-one, symbolised by “arrow-to-arrow” one-to-many, symbolised by “arrow-to-fork” many-to-one, symbolised by “fork-to-arrow” many-to-many, symbolised by “fork-to-fork” Note: The relation is usually not a flow relation! (But you should tell what kind of relation it is.)

8. Object graphs: another example

9. Concept modelling: Exercises B2B –The customers of companies are companies –Companies have employees (persons) B2C –The customers of companies are consumers (persons) –Companies have employees (persons) B2B+B2C –The customers of companies are companies or consumers (persons) –Companies have employees (persons)  Hint: There are two basic object types, COMPANY and PERSON in all three examples

10. Different roles of concept modelling Clarifying a small number of related concepts Information model for an application –defining meaning –basis for data design Corporate information model –for more efficient communication between people –basis for system integration

11. Concept model ---> Data model

13. Concept model ---> Star/cube model

14. Star model for Data Warehouse

15. Multidimensional model (cube model)

16. Modelling the contents and structure of official statistics Or: How to design ”correct” and globally consistent SDMX Data Structure Definitions Or: Navigating in a space of statistical surveys of society Or: Reality as a statistical construction Bo Sundgren, Statistics Sweden ICES-III, Montreal, June 18-21, 2007

17. What can a statistical agency do, in order to help a user - find potentially relevant statistical data? - judge the relevance of data retrieved? Provide overviews of available data Provide search tools Provide informative metadata

18. Conceptual navigation: contents exploration and searching for statistics A conceptual model of society as reflected by official statistics

21. Statistics Canada: Agents, Events, Things

22. Contents By Example (based on a simple generic model) Actors Utilities Complex objects

28. Everything ”clickable” OBJECT VARIABLE Lefthand click Righthand click Select: - object - variable Retrieve metadata: - definition - value set, classification - questionnaire - quality declaration - survey documentation

39. UNESCO model version 1 (to be revised)