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Conference on Data Quality for International Organisations Newport, Wales, 27-28 April 2006

Conference on Data Quality for International Organisations Newport, Wales, 27-28 April 2006. Q2006 FOR INTERNATIONAL ORGANISATIONS PROGRESS FROM 2004 MEETING AND THE WAY FORWARD. Q2004 FOR INTERNATIONAL ORGANISATIONS. OVERVIEW Followed the Q2004 meeting in Mainz, Germany on 24-26 May 2004

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Conference on Data Quality for International Organisations Newport, Wales, 27-28 April 2006

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  1. Conference on Data Quality for International OrganisationsNewport, Wales, 27-28 April 2006 Q2006 FOR INTERNATIONAL ORGANISATIONS PROGRESS FROM 2004 MEETING AND THE WAY FORWARD

  2. Q2004 FOR INTERNATIONAL ORGANISATIONS OVERVIEW • Followed the Q2004 meeting in Mainz, Germany on 24-26 May 2004 • Over 15 I/Os in CCSA were represented (32 delegates) • Plus 10 countries in Europe, Asia, North and South America (25 delegates)

  3. Q2004 SESSION THEMES • Quality frameworks assessing and improving statistical activities carried out by I/Os • Coherence of data published by various I/Os on same subject • Tools and policies for collecting, managing and disseminating data and metadata • Panel discussion – Future directions for international co-operation to ensure data quality

  4. Q2004 SESSION THEMES I/O QUALITY FRAMEWORKS Papers presented by: OECD; FAO; UNSD • Outlined elements of quality frameworks (dimensions, review processes, etc) – internal focus (OECD) – external focus (FAO) • Relationship between UN Fundamental Principles for Official Statistics, IMF DQAF, and the (then) draft Declaration of Principles for International Official Statistics • How progress towards a quality framework for international official statistics could be achieved – Taken further by Framework Task Force.

  5. Q2004 SESSION THEMES COHERENCE OF SAME DATA PUBLISHED BY DIFFERENT I/Os Papers were prepared by : UNDP; UNICEF, OECD, ECE, World Bank • Identified different types of inconsistency • Identified a range of possible causes of inconsistency • Papers acknowledged improvements in co-ordination between I/Os, especially in areas of data collection. • Put forward ideas on solutions

  6. Q2004 SESSION THEMES TOOLS AND POLICIES FOR COLLECTING, MANAGING AND DISSEMINATING DATA AND METADATA Papers presented by: UNIDO; UNESCO; ILO; OECD; ECB; IMF; OECD; FAO; UNSD • Outlined recent individual corporate IT initiatives for the collection, management and dissemination of data and metadata. • Covered mechanisms for exchanging data and metadata with other I/Os, e.g. automated systems based on adoption of common standards (ECB) others based on use of common questionnaires by different I/Os (UIS). • Almost all papers mentioned linkages between D/B systems and corporate data quality assessment frameworks to improve data quality. • Mentioned / highlighted evolution of systems using tools / standards being developed by SDMX (ECB, OECD, IMF).

  7. Future directions for international co-operation to ensure data quality Panel discussion conclusions covered: • Need for development of declaration of principles for international statistics • Identified similarities in production processes used by I/Os and national agencies • Identified key quality dimensions at international level: country coverage, comparability • Quality assessment versus quality assurance • Degree of co-ordination / co-operation • Importance of metadata and IT

  8. INITIAL QUALITYFRAMEWORK Fundamental principles for official statistics Principles for international statistics National statistical agencies International agencies Providers Users Statistical Data and Metadata Exchange (SDMX) – Standards and tools International statistical standards and recommendations NSOs quality assurance frameworks I/O quality assurance frameworks DQAF / SDDS / GDDS IDBB / IDQAF / IDDS I/Os common training and software

  9. PROGRESS SINCE Q2004 Fundamental principles for official statistics Principles for international statistics National statistical agencies International agencies Providers Consensus on Principles and practices for I/Os reached by CCSA members in 2005 Posted on UNSD website I/Os to review current practices and disseminate the results of the review Users Statistical Data and Metadata Exchange (SDMX) – Standards and tools International statistical standards and recommendations NSOs quality assurance frameworks I/O quality assurance frameworks DQAF / SDDS / GDDS IDBB / IDQAF / IDDS I/Os common training and software

  10. PROGRESS SINCE Q2004 Fundamental principles for official statistics Principles for international statistics Technical standards, Version 2.0, released in November 2005 Draft Content-oriented guidelines disseminated for public comment in March 2006. Several SDMX implementation projects underway in OECD, ECB, Eurostat, UN, IMF National statistical agencies International agencies Providers Users Statistical Data and Metadata Exchange (SDMX) – Standards and tools International statistical standards and recommendations NSOs quality assurance frameworks I/O quality assurance frameworks DQAF / SDDS / GDDS IDBB / IDQAF / IDDS I/Os common training and software

  11. PROGRESS SINCE Q2004 Fundamental principles for official statistics Principles for international statistics National statistical agencies International agencies Providers Users Several I/Os have developed different (though overlapping) quality frameworks. Most CCSA members do not have a quality framework. Framework task force sent out questionnaire in February 2006 to CCSA members to gauge situation. Statistical Data and Metadata Exchange (SDMX) – Standards and tools International statistical standards and recommendations NSOs quality assurance frameworks I/O quality assurance frameworks DQAF / SDDS / GDDS IDBB / IDQAF / IDDS I/Os common training and software

  12. PROGRESS SINCE Q2004 Fundamental principles for official statistics Principles for international statistics Existing training initiatives in I/Os presented at CCSA in September 2005 Network of representatives from CCSA members set up. Action plan developed and presented at March 2006 CCSA meeting. National statistical agencies International agencies Providers Users Statistical Data and Metadata Exchange (SDMX) – Standards and tools International statistical standards and recommendations NSOs quality assurance frameworks I/O quality assurance frameworks DQAF / SDDS / GDDS IDBB / IDQAF / IDDS I/Os common training and software

  13. PROGRESS SINCE 2004 • Significant, but too slow • No impact in terms of external perception, both within the international statistical community, and outside • Resources are an important constraint, but lack of strategic decisions in several IOs • Mid-term planning of improvements/changes is needed

  14. SEBC SODI Eurostat ECB MacroEconomic Glossary SBS/R&D National accounts NAWWE OECD MEI/IFS Joint hub on external debt Trade in goods IMF WB BIS UNSD MDG UNESCO ILO FAO Other UN Countrystat

  15. POSSIBLE WAY FORWARD PRINCIPLES/GOVERNANCE • CCSA should establish a public web site, where reports from IOs should be published • Need to develop a common template/format for reporting and a remote updating procedure (ECE database on activities could be used) • Marketing is needed (press release, etc.) • CCSA has to evolve, to become stronger and more authoritative vis-à-vis top managers in IOs and external world • Report to UNSC in 2008

  16. POSSIBLE WAY FORWARD TECHNICAL INFRASTRUCTURES/SDMX • Data sharing between IOs should be expanded. More joint hubs (MDGs, education, national accounts, etc.) and mandate to ISWGs to develop data structures. • Design a network of common tools (glossaries, knowledge bases, etc.) for the international statistical system: • OECD Glossary, StatWorks, MetaStore, etc.; • Generalise FAO Countrystat approach, especially for developing countries; • DevInfo for dissemination and integration of databases. • UNSC 2008: adoption of SDMX as standard

  17. POSSIBLE WAY FORWARD QUALITY • Speed up the work of the task-force • Build a knowledge base on quality for IOs • Develop International Data Dissemination Standards (IDDS) • Develop further the idea of “labelling” high quality international statistics • Experiment peer reviews, under the auspices of CCSA

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