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ESS vision implementation

This working group focuses on the components and strategies for implementing the ESS vision, including streamlining processes, reengineering official statistics, and enhancing dissemination.

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ESS vision implementation

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  1. ESS vision implementation Dissemination Working Group Point 4 Daniel Defays Dissemination Working Group 17-18 April 2012

  2. Outline • The components of the implementation of ESS vision (2009) and Joint strategy (2010) • The bottom up approach – problem statement • Streamlining of the implementation vision Dissemination Working Group 17-18 April 2012

  3. Management Strategy Controlling HR Communication Development Disseminate Production User support Statistical methods Management of Production Publications Technology Metadata Survey preparation Registers Survey Validation Data matching … Preparation of publication … Analysis Data warehouses Programme Microdata access Marketing Support Resources Training Organisation ICT Press office Legal Methods Social questions Information Cooperation withprivate sector “Factory” Statistics Dissemination Working Group 17-18 April 2012

  4. Reengineering of Official Statistics ESS Vision Dissemination Working Group 17-18 April 2012

  5. ESS vision implementation strategy • Frameworks providing directions • Legislative policy, • Enterprise Architecture, • HR strategy, • Financial policy, • Strategic priorities management • The “building blocks” and the fundations • Statistical domain Framework regulation & Cross cutting legislation • New financial instruments • Redeployment of resources through VIP, … • Creation of Eurostat Laboratory • Collaborative instruments (ESSnets) • Streamlined ESSC governance, Sponsorships Dissemination Working Group 17-18 April 2012

  6. ESS vision implementation strategy • The “projects” since 2009 • 27 ESSnets • 9 VIP projects • Early flagships projects (Meta data handler, Census HUB, EGR, SDMX and Single Entry Point, …) • The “production” • Rationalisation of production, reengineering, quality improvement Dissemination Working Group 17-18 April 2012

  7. Dissemination perspective • Statistics Explained part of the early flagships • VIP on Enhanced Dissemination Chain • Lab projects (addressing cross cutting issues on products) • Industry standard (web, RDF, …) easing integration, interoperability Dissemination Working Group 17-18 April 2012

  8. Many of these projects will deliver significant pieces of a future of architecture How do we ensure that they don’t overlap / are complementary ? How do we ensure that they are sustainable ? How will we decide on next steps, on projects to be continued, merged or even stopped ? How do we ensure that result can/will be implemented ? Bottom up approach – problem statement Dissemination Working Group 17-18 April 2012

  9. Streamlining the implementation of the vision • Enabling realisation of “business” strategic plan • Development of sustainable generic architectures for production Dissemination Working Group 17-18 April 2012

  10. Streamlining the implementation of the Vision Information shared Dissemination Working Group 17-18 April 2012

  11. Two overarching principles embracing the vision Information principle Data is a shared asset: ESS information flows are optimally organised. Data objects are fit for reuse. Process principle Processes are interoperable: ESS Production processes are modular and built upon common shared services Dissemination Working Group 17-18 April 2012 13-Jul-07

  12. 4 strategic directions for development Information I.1. Common infrastructure for sharing, processing and redistributing information in the ESS I.2. Optimised information flows among ESS partners Process P.1. Componentisation of statistical instruments and production processes P.2. Interoperability within the same production process: Vertical integration Dissemination Working Group 17-18 April 2012 13-Jul-07

  13. I.1. Common infrastructure for sharing, processing and redistributing information in the ESS NSIs and Eurostat have common platforms to share, process (cross validation, merge, update) and redistribute information Strategic aims Higher quality (specialisation) Cost and burden reduction Flagship initiatives: Euro Groups Registers SIMStat (Sharing Internal Market Statistics) ESS datawarehouses Dissemination Working Group 17-18 April 2012

  14. I.2. Optimised information flows among ESS The flow of statistical information objects (data and metadata, process parameters) between NSIs and Eurostat transit via single gateways and are activated by push or pull mode Strategic aims Higher coherence in statistics Burden reduction (no double collection) Flagship initiatives Deployment of SDMX infrastructure and imbedding conformity services (extension to micro data, bridging with DDI) ? Web (hub) approach to EU statistics Dissemination Working Group 17-18 April 2012

  15. P.1. Industrialisation of production process and plug and play production environment ESS statistical instruments are made modular. Production processes in MSs and Eurostat is obtained by linking together shared tools/services in a (possibly) distributed environment Strategic aims Reduce cost of implementation and maintenance Reduced time to market (timeliness of new product) Improved quality (comparability) Flagship initiatives Deployment of Common production reference environment in the ESS (CORE) Modular approach of social surveys Dissemination Working Group 17-18 April 2012

  16. P.2. Interoperability within the same production process: Vertical integration Different stakeholders collaborate efficiently along the same production line Strategic aims Reduce cost of execution (avoiding double work) Higher quality (validation closer to source) Flagship initiative ESS integration of data validation across domains Dissemination Working Group 17-18 April 2012

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