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Case Studies

Case Studies. Introduction. Purpose To get materials for part D: Implementation, but can provide input to all parts of the CMF Transfer of knowledge & experience among community; Process - volunteer basis Template - to enable some comparability Tool - Wiki. 2007

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Case Studies

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  1. Case Studies

  2. Introduction • Purpose • To get materials for part D: Implementation, but can provide input to all parts of the CMF • Transfer of knowledge & experience among community; • Process - volunteer basis • Template - to enable some comparability • Tool - Wiki

  3. 2007 Canada (use of standards – ISO/IEC 11179) Ireland (meta-data driven DMS) New Zealand (metadata linked to data) South Africa (measuring organizational readiness for change) Sweden (distributed metadata collection) 2008 Australia Croatia Czech Republic (presented on Wednesday) Norway Portugal South Africa (update) UNIDO Submitted Case Studies

  4. Summary - Norway • What: Different metadata systems linked together with portal on the top • Why: To make statistics (metadata) more accessible, easier to use and understand • How: Sustainable development based on MD Strategy • Who: Metadata unit together with IT • Question: Feedbacks from users? - Can successful implementation of the portal & externalisation serve as a selling method for the next step: metadata in statistical production?

  5. Croatia • What: Central metadata system • Why: To use it (metadata) for the automated statistical production • How: Started with large project ended with sustainable development • Who: IT • Question: What is the role of methods unit, can be used as a driver for quicker utilisation

  6. UNIDO • What: Integrated Statistical Development Environment • Why: To use metadata for the automated data/metadata collection, transformation and dissemination • How: Sustainable development • Who: All units • Question: Are you considering the use of SDMX for data/metadata collection?

  7. Portugal • What: Modular metadata system • Why: To improve user access to statistics, harmonize metadata and document (not drive?) production processes • How: Sustainable development • Who: Metadata unit and App Devt Unit • Question: Experience with formal & standardised processes?

  8. Australia • What: Core metadata systems • Why: Dissemination, reference metadata for production systems (IDW, ISHS) • How: From Cathedral projects to sustainable development • Who: Metadata unit • Question: How were metadata quality issues managed after introduction of metadata in production systems?

  9. Czech Republic • What: Central statistical metadata system • Why: To use metadata for the automated statistical production • How: Project according the Roadmap • Who: Metadata unit • Question: As a data/metadata collector, are you consider the use of SDMX?

  10. Challenges • Approach: Sustainable step by step development according clear Roadmap/Strategy based on the best practice and international cooperation • Standards and annotations: Case studies have leverage the use of standards like ISO/IEC 11179, SDMX, DDI, Neuchatel etc. Their use has become necessity and mappings between standards can provide significant opportunities • Statistical business process: there is a strong push towards the incriesed use of metadata in statistical production systems. Metadata systems have become integral part of any new statistical production system. More and more countries are developing end-to-end statistical production systems. Direction towards more centralised data production systems requres process-based metadata systems architecture. Metadata quality issue has become even more important • Systems & design: Architectural shift towards SOA, externalisation & interoperability are becoming key • Cultural/Utilisation issues: It is still a challlenge how to motivate subject-matter units to provide metadata or increase Quality. Make it Business As Usual!!! • Metadata quality:participants stressed the importance of metadata quality. Metadata are data so we should at least use existing quality frameworks. • Standardisation and reuse of metadata can reduce administrative burden and improve metadata quality. Metadata management should become integral part of data. + Questionnaire • Governance: Processes & governance for metadata mngmnt are as important as metadata systems in place

  11. Future work • Feedbacks? Happy to continue? YES • Template – any changes? • Additional contact information (MD, IT, BPM) • Level of detail – more additional docs? • Wiki – visibility, new functionalities (gradual process) • Regular update of existing Case Studies – Annualy? Demo presentations? • New proposals for Case Studies – Any volunteers?

  12. Questions? http://www.stats.govt.nz matjaz.jug@stats.govt.nz

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