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Building OECD’s New Statistical Information System

Building OECD’s New Statistical Information System. Lee Samuelson. New OECD Statistical Information System. Core element of OECD Strategy for Statistics Increase the efficiency of statistical processes Improve the quality of statistical data and metadata -- notably timeliness and coherence

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Building OECD’s New Statistical Information System

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  1. Building OECD’s New Statistical Information System Lee Samuelson

  2. New OECD Statistical Information System • Core element of OECD Strategy for Statistics • Increase the efficiency of statistical processes • Improve the quality of statistical data and metadata -- notably timeliness and coherence • Enhance the accessibility of OECD statistical resources for both internal and external users • Encompasses all aspects of statistical activities

  3. A cooperative effort • Producers of statistics • Users of statistics • OECD staff • External clients • PAC, ITN and STD • Manage projects • Supply infrastructure • Provide support

  4. SIS Design Principles • Preserve the decentralised nature of directorates’ statistical activities ..... while making their data part of a coherent corporate system • Build component elements that that can function independently …… and which are fully interoperable with each other • Make innovative use of emerging technology standards (e.g., XML, Web Services, SDMX)

  5. Three Inter-operating Layers …. • Production layer • StatWorks – modern production environment • MetaStore – coherent management of metadata • Storage Layer • OECD.Stat – validated data and metadata • Dissemination layer • User interfaces • PubStat – publications management …. Supported by a WorkFlow system

  6. Data Production Environments (incl. StatWorks) OECD.Stat Corporate Data Warehouse User Interfaces Cubes PubStat Publication Management Interface MetaStore XML XML Metadata Production Environment Published Outputs Web Services SIS Architecture Production Storage Dissemination Work flow

  7. Overall goals (1) • User friendliness • One-stop database • Easy access • Common “look and feel” for all products • Efficiency • Common tools • Easy access across OECD • Review of processes

  8. Overall goals (2) • Quality • Coherence of concepts & data • Timeliness • Good metadata • Visibility • Greater visibility of statistical products • Flexibility • Separate storage, processing, dissemination

  9. Metadata Principles • Statistical data being shared or disseminated, internally or externally, must have appropriate metadata • Statistical metadata must be consistent • Metadata must be created only once • For each dataset there must be someone with responsibility for metadata

  10. Implementation

  11. Building OECD’s New Statistical Information System Lee Samuelson

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