1. SDMX data sharing between IMF and OECD
In the business of statistics
statistics and lies
Churchill: – only believe in statistics if I falsified the numbers myself
not going to teach you statistics. Rather, I hope some lessons learnt may be generalised to other environments. I am going to try to draw these parallels, and I hope to demonstrate that there is a great deal of resemblance between information management in different kinds of enterprises.
What is metadata?
I will not discuss this question as you must know, or else you wouldn’t be here.
Only note that the term originates from the world of statistics: Sundgren (1973), where the term “metadata” is used for the first time.
statistical data warehouses
Interoperability: how can different parts of an organisation work together and share knowledge, how can different organisations work together, and finally the whole world.
First going to give you a little background of my experience
Lars Thygesen
April 2006

2. Short term Monthly exchange of single dataset in each direction
OECD – Main Economic Indicators data
Mechanism: SDMX Web Service query to OECD.Stat
IMF – Exchange Rates data from IFS
Initial Mechanism – posting of SDMX file
First attempt based simply on time series key and IMF country codes
New data structure definition based on 3 character ISO country codes and subcode with common descriptor across countries
April 2006

3. Medium Term Extend to other published datasets
OECD to include all datasets IMF receives
Economic Outlook,
Structural Analysis Database,
Annual and Quarterly National Accounts,
Quarterly Labour Force Statistics
OECD to determine additional datasets wanted from IMF.
Add notification mechanism based on SDMX registry
Incremental update
April 2006

4. Long term IMF SDMX web service fed by an IMF Economic Data Warehouse
Direct End User access to both organisations’ SDMX web services
April 2006