1. April, 2004 Lars Thygesen International Trade Expert meeting Whats going on at OECD: statistical information management

2. April, 2004 2 Data collection from Member countries

3. April, 2004 3 Modes of data collection standard questionnaire send what youve got web queries from web site

4. April, 2004 4 Quality transmit on the day of publication available on web site for download follow specified format correct translation of codes

5. April, 2004 5 Highlights from a survey numerous cases of missing data (national accounts) short and long delays some errors and re-sendings

6. April, 2004 6 What can be done? Short term: Remove obstacles? Long term: New methods?

7. April, 2004 7 What is SDMX? Statistical Data and Metadata eXchange develop and employ more efficient business processes for exchange and sharing of statistical information and metadata Standards

8. April, 2004 8 And why is OECD interested? Questionnaires: heavy reporting burden similar questionnaires for other IOs timeliness error prone heavy burden on OECD

9. April, 2004 9 What we hope to gain more efficient reporting, i.e. less burden on countries as well as on OECD automated procedures which are less error prone more timely reporting and, consequently, dissemination enhanced coordination with other international organisations

10. April, 2004 10 Aligned Projects Exchange of national accounts data between the OECD and Member countries (NAWWE) Joint UN/OECD Foreign Trade Statistics project (Comtrade)

11. April, 2004 11 AUSTRALIA …… NAWWE: Data Flow CANADA …… AUSTRALIA …… XML Data Files Excel Tables ……. SDMX Based XML Schemas Defines Dimensions and Data Structure Copied XML Files CANADA …… OECD Web Server XML Files Validated By Schema XML Files Copied to Server Web Application Navigation Content Upload to SNA Database or Output to Other Format Structural XML STRUCTURE ……

12. April, 2004 12 OECDs new Statistical Information System

13. April, 2004 13 Overall goals User friendliness –One-stop database –Easy access –Common look and feel of all products Efficiency –Common tools –Easy access across OECD Quality –Coherence of concepts & data –Timeliness –Good metadata –Review of processes Flexibility –Separate storing, process, presentation

14. April, 2004 14 OECD.Stat The central repository ("warehouse") where validated statistics and related metadata destined for publication and/or sharing are stored

15. April, 2004 15 SIS Architecture ProductionStorageDissemination Data Production Environments (incl. StatWorks) MetaStore Metadata Production Environment XML User Interfaces PubStat Publication Management Interface Published Outputs Work flow Cubes Web Services OECD.Stat Corporate Data Warehouse XML

16. April, 2004 16 Metadata principles All statistical data being shared or disseminated, internally or externally, must have appropriate metadata Statistical metadata must be consistent All metadata must be created only once

17. April, 2004 17 Quality Review Statistics X Quality problems Recommen- dations SIS Migration Plan

18. April, 2004 The End