1. © Statistisches Bundesamt, I/A Case study Federal Statistical Office Germany (Destatis) Joint UNECE/ EUROSTAT/ OECD Work Session on Statistical Metadata (METIS) Lisbon, 11 – 13 March, 2009

2. © Statistisches Bundesamt, I/A About lessons learned About process models About the systems About us  Who we are  Where we started  What is already there  What is being implemented  What is planned for the future  How we use process models  What we have learned Content

3. © Statistisches Bundesamt, I/A Who we are Metadata management unit – 2-3 people Established in mid-2007 Part of central coordination department Several working groups and projects

4. © Statistisches Bundesamt, I/A DESTATIS Central authority in official statistics in Germany 2710 employees (as of July 2008) 50.5% with graduate degree (16.4% with upper post- secondary degree)

5. © Statistisches Bundesamt, I/A Official Statistics in Germany 14 Länder offices – 1 Federal Statistical Office (Destatis) Organizationally entirely independent offices Many statistical activities are carried out jointly by federal and Länder offices

6. © Statistisches Bundesamt, I/A Work sharing in the statistical system Federal Statistical Office (Destatis) organizes federal statistical activities … … and is responsible for the methodology Länder offices carry out the core statistical processes

7. © Statistisches Bundesamt, I/A Joint decision making in the statistical system Several decision making bodies and working groups on different levels … applies also to IT Statistical offices in Germany share existing and develop new IT-systems together

8. © Statistisches Bundesamt, I/A Where we started Some systems in place, when we started New project to standardize business procedures and IT-systems: “SteP – Standardisierung der Produktion” No common metadata strategy – no agreed metadata model Several requirements by governing committees Metadata management for Census 2011

9. © Statistisches Bundesamt, I/A GENESIS- Online RDC Metadata- system Survey Database Statistical activities database Quality reports In-house systems SAS Excel ??? Collect ProcessAnalyze Disseminate Design Internet data editing tool What is already there edr tool electronic questionnaire tool

10. © Statistisches Bundesamt, I/A What is already there GENESIS-database output database, cube based, extensive data and metadata model, stores metadata internally (about 1,300 cube-variables), supports sdmx-queries RDC-metadata system technically a spin-off from GENESIS to store metadata that describes micro data files for researchers, successfully implemented, great level of detail (currently 5,600 variables used in data files for 33 statistical activities)

11. © Statistisches Bundesamt, I/A What is already there.BASE in-house production system to support an end-to-end workflow, consists of a central database for metadata (in the form of XML-files), current tools that run on this metadata: data editing tool, edr-tool, electronic questionnaire tool, no (standard) conceptual model, metadata on a rather technical level

12. © Statistisches Bundesamt, I/A What is being implemented Klass-Service Neuchâtel-based classification server, carried out in collaboration with Destatis’ classification unit, in fact a (very thorough) reengineering of an older system, collaboration with Statistics Norway, implementation: Bavarian State Office for Statistics and Data Processing Reengineering of Statistikdatenbank internal information system, registers all statistical activities (on a higher level)

13. © Statistisches Bundesamt, I/A What is planned Metadata systems for the Census 2011, among them: Variable server as part of the census project, designed after consultation with the Swiss Statistical Office, ought to be Neuchâtel-based as well, would ideally provide a connection between output systems (e.g. GENESIS) and processing systems (e.g..BASE)

14. © Statistisches Bundesamt, I/A What is planned Also upcoming: Organizational matters Organizational implementation of the systems Drafting of a strategy Making conceptual model and process model known in other parts of the organization

15. © Statistisches Bundesamt, I/A How we use process models Management processes Support processes Collect ProcessAnalyze Core processes Development  Production  Interpretation Manage statistical activities Develop methodology Design Disseminate Supply infrastructure Supply resources Manage human resources Organize Communicate internally Manage operations Manage Marketing and Public Relations Manage people Devise strategy Destatis Process Model

16. © Statistisches Bundesamt, I/A How we use process models 1. Print questionnaire 3. Monitor responses and follow-up non-respondents 2. Send questionnaire 4. Manage interviewers 5. Import data 6. Update registers and other reference files 7. Draw sample 8. Initial Check 9. Code and classify responses 10. Derive new variables 11. Perform micro editing 12. Calculation 13a. Estimation + 13b. Estimate sampling error 14. Check data protection 15. Finalise output tables 16. Exchange output data 17. Archive (micro) data 18. Analyse micro data further 19. Promote products 20. Manage respondents SteP ProcessModel

19. © Statistisches Bundesamt, I/A What we have learned Communication is important Strategy is needed for coordination Learn from previous implementations Use existing models like Neuchâtel/ISO 11179 Cooperate internationally

20. © Statistisches Bundesamt, I/A Thank You For Your Attention!