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1 Statistics Norway Information Architecture – some challenges ODaF meeting, Colchester 14 -15 April 2008 Rune Gløersen Director Department for IT and.

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Presentation on theme: "1 Statistics Norway Information Architecture – some challenges ODaF meeting, Colchester 14 -15 April 2008 Rune Gløersen Director Department for IT and."— Presentation transcript:

1 1 Statistics Norway Information Architecture – some challenges ODaF meeting, Colchester April 2008 Rune Gløersen Director Department for IT and Data Collection Statistics Norway

2 2 Initiatives dependent on enhancement of information architecture E-Government Need for interoperability Reducing the response burden Common, (inter)national metadadata repositories Access to data for reasearchers

3 3 Common public ICT-Architecture Access and Presentation layer Business Portal Local Services Citizen Portal Forms Engine Rules Engine Data Exchange Public Mailbox Service Library Administrative Registers Common Metadata Authentication eID Common Services and Components layer Local ICT architecture Local Services Local Information Subject Matter Systems Data administration Open Standards Security Local Services and Administration

4 4 Statistics Norway IT Strategy Data Exchange Metadata Management of Statistical Populations Data Collection Data Editing and Analysis Dissemination Business Portal Citizen Portal ssb.no Intranet IT Infrastructure Security Observation Registers, Longitudinal data, Data Archive Cooperative IT systems

5 5 Develop and design Build Collect Process Analyse Disseminate Towards a coherent production system based upon the Statistical Business Process Model Methodology and infrastructure Quality assessment and control Need

6 6 Easy and flexible access to information File descript. Classifications Macro database Variable definitions Local metadata Question- naire repository Content (Quality) declaration Statistical activities Local metadata Local metadata Access End users DATA ?

7 7 Classifications Longi- tudinal data Data Archives Variables Metadata sources/services Questionnaires Data collection Processing Dissemination Statistical products Metadata integration

8 8 Classifications Longi- tudinal data Data Archives Variables Metadata sources/services Questionnaires Data collection Processing Dissemination Statistical products Lack of common architecture & standards Metadata integration

9 9 Structures, domains and user needs Archive Data Ware House Dissemination database Data Ware House Data Ware House Data Ware House Data Ware House Data Ware House Data Ware House Data Ware House Information Analysis Research Availability Functionality Reliability

10 10 Standards? Archive Data Ware House Dissemination database Data Ware House Data Ware House Data Ware House Data Ware House Data Ware House Data Ware House Data Ware House Information Analysis Research Dublin Core? Topic maps? ISO ? Neuchatel ? Whatever ? DDI ?

11 11 Access to microdata for researchers File descript. Classifications Macro database Variable definitions Local metadata Question- naire repository Content (Quality) declaration Statistical activities Local metadata Local metadata Browse/Request Researcher DATA Service -Delivery by license -Remote Access -Public Use Files Etc.


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