1. The use of SDMX at the ECB Xavier Sosnovsky European Central Bank Bonn, 2009-04-02

2. 2 Overview Data exchange: SDMX-EDI Data storage: SDMX Information Model Data dissemination: SDMX-ML

3. 3 Data exchange: SDMX-EDI 27 NCBs 7 NSIs Eurostat IMF BIS Using SDMX-EDI

4. 4 Overview Data exchange: SDMX-EDI Data storage: SDMX Information Model Data dissemination: SDMX-ML

5. 5 Data storage: SDMX Information model Data stored in FAME and Oracle databases Based on the SDMX information model (concepts, code lists, key families, dataflows, etc)

6. 6 Overview Data exchange: SDMX-EDI Data storage: SDMX Information Model Data dissemination: SDMX-ML

7. 7 SDMX-ML on the ECB websites Export functionality on the ECB Statistical Data Warehouse Bilateral exchange rates & euro area yield curves Publication of national contributions ECB visualisation tools

8. 8 The ECB Statistical Data Warehouse Full support of extractions in SDMX-ML format

9. 9 Bilateral exchange rates and euro area yield curves Extractions into SDMX-ML format

10. 10 Publication of national contributions (1) 1.The problem: Need to improve the accessibility of ESCB statistics (user request). –Time-consuming task –Accessibility issues 2.The solution: To present euro area aggregates and national contributions in one table, simultaneously on the ECB and participating NCBs websites. 3.The benefits: –Increased user-friendliness –Consistent data and presentation –Minimised maintenance work

11. 11 Publication of national contributions (2) Technical overview: SDMX standards: SDMX-ML 1.0 Compact format data files published on the ECB website XSLT + a programming/scripting language (i.e.: Java, PHP, etc) Multi-channel output (HTML, CSV, etc)

12. 12 Publication of national contributions (3) NCBs implementations: Own added values. Localization Database with wizard and personalization features Display of metadata Additional download formats

13. 13 Publication of national contributions (4) Benefits The ESCB statistics sites appear as a co-ordinated network with an entry point in all NCBs Users do not have to leave the NCB website to consult ESCB data Look and feel of NCB website is preserved Translation into national languages

14. 14 ECB visualisation tools (1): Current applications ECB dynamic visualisation tools use SDMX-ML as format for data feeds. Examples: 1.The bilateral exchange rates graphsbilateral exchange rates graphs 2.The euro area yield curveseuro area yield curves 3.The inflation dashboardinflation dashboard

15. 15 ECB visualisation tools (2): An SDMX visualisation framework Develop libraries that can be used to build visualisation tools for statistical data and metadata Written in ActionScript 3 (Flex/Flash applications) Based on the SDMX information model v. 2 15

16. 16 ECB visualisation tools (3): An SDMX visualisation framework 16 Data SDMX-ML data files (data sets, series, observations, etc) SDMX-ML data structure definitions (concepts, code lists, data structure definitions, etc) ECB SDMX Framework SDMX-ML Readers SDMX Information model Visual display Applications Application 1 Application 2 Application 3 Application 4 Read View Use Translate Access Users

17. 17 ECB visualisation tools (4): An SDMX visualisation framework 17 Open source project ECB, NY FED, BOC, OECD Code hosted and publicly available on Google Code Strict commit policy and change management procedures BSD license Roles –Leadership roles (Project Manager, Project Advisor and Project Architect) –Committers: three individuals –Contributors: contributions are welcome from all –Users: the code is available to all

18. 18 ECB visualisation tools (5): Planned work Generalise the use of this technology to other sections of the ECB website (e.g.: effective exchange rates, HCIs, Eurosystem joint dissemination sections, etc.) Replace charts of the ECB Statistical Data Warehouse with similar interactive visualisation tools Add new statistical domains to the ECB dashboard

19. 19 SDMX Web services on the SDW (1) Available 2009 Q3 Possibility to get all statistical data stored in the SDW Support for the SDMX-ML Query format Possibility to get all the data or updates and revisions only Possibility to retrieve data snapshots Possibility to filter data by dataflows, datasets, dimensions, attributes, date ranges, etc Data returned in SDMX-ML Compact Data and SDMX- ML Generic Data formats (v. 2)

20. 20 SDMX Web services on the SDW (2) Possibility to retrieve data structure definitions, code lists and concept schemes Possibility to retrieve the category schemes, organisation schemes and dataflow definitions (including constraints) Metadata returned in SDMX-ML Structure format

21. 21 SDMX Web services on the SDW (3) Possibility to submit subscription requests and receive update notifications, when specific actions occur on data and metadata Possibility to receive notifications via email and via an HTTP request