1 UPDATE ON THE ACTIVITIES OF THE OECD"S STATISTICAL INFORMATION SYSTEM COLLABORATION COMMUNITY MSIS2013 By Jonathan Challener Who we are? OECD AUSTRALIAN BUREAU OF STATISTICS STATISTICS ESTONIA EUROPEAN COMMISSION INTERNATIONAL MONETARY FUND ITALIAN NATIONAL INSTITUTE OF STATISTICS STATISTICS NEW ZEALAND UNESCO INSTITUTE FOR STATISTICS UNIVERSITY OF MANCHESTER
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UPDATE ON THE ACTIVITIES OF THE OECD"S
STATISTICAL INFORMATION SYSTEM
COLLABORATION COMMUNITY
MSIS2013By Jonathan Challener
Who we are?
OECD
AUSTRALIAN BUREAU OF STATISTICS STATISTICS ESTONIA
EUROPEAN COMMISSION
INTERNATIONAL MONETARY FUND
ITALIAN NATIONAL INSTITUTE OF STATISTICS
STATISTICS NEW ZEALAND
UNESCO INSTITUTE FOR STATISTICS
UNIVERSITY OF MANCHESTER
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Interested?
INSEE
National Bank of Belgium
"Rich in functionalities and easy to use"
"Built for ENDUSERS"
"Very good process automation options"
"Modern user interface and functionality"
"Good perspective"
"Develop our own tool will take a long time and a lot of resources"
"Other similar available tools seem to no longer be improved or have blocking limitations"
"To be part of a collaboration community"
Why collaborate?
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Why collaborate?
Co‐producing and co‐developing state‐of‐the‐art StatisticalInformation Systems by leveraging on community capacities.
Sharing of experiences, knowledge and best practices throughmultilateral collaboration and building of a collective capacity.
Enabling innovation at an optimal cost in a minimal time with all members benefiting from each other in terms of ideas and methods.
Provide a platform for Open Data projects as identified as a priority for major member countries.
Implementing standards (SDMX) for data sharing across organisations in order to improve data accessibility and quality, and reduce costs.
Why collaborate?
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On what?
.Stat is the central repository ("warehouse")
where validated statistics and related metadata are stored.
It provides the sole and coherent source of statistical data and related metadata for an organisation"s statistical data
sharing, publication and electronic dissemination processes.
.Stat positioning in SIS
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.Stat architecture
Flexible multi‐dimensional datasets
S d f h
SQL Server db with star schema, .Net
Web services web Structured for human consumption
Flexible access rights
Web services, web and other client applications
Autonomous data owners
Referential metadata, flags, 2 languages
Hierarchical and common dimensions
Loosely coupled, platform independent
Priority to extractions
.Stat key components• Theme navigation & search
• Flexible data tables, selection and view options
• Interactive graphs
• Default and personal queries
• Synchronised transactional 24/7 data loads
• XML + CSV
• E‐mail notification • Default and personal queries