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Getting the facts right

Getting the facts right. A guide to presenting metadata with examples on Millennium Development . What are metadata?. data that defines or describes other data “information that is needed to be able to use and interpret statistics” (Eurostat). Without metadata. With metadata.

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Getting the facts right

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  1. Getting the facts right A guide to presenting metadata with examples on Millennium Development

  2. What are metadata? • data that defines or describes other data • “information that is needed to be able to use and interpret statistics” (Eurostat)

  3. Without metadata With metadata

  4. Source: United Nations Statistics Division (2003). Indicators for Monitoring the Millennium Development Goals.

  5. UNDP Guide to Measuring Human Development “… a reference tool that provides guidance on statistical principles…”

  6. Metadata: particularly important for MDG-related reports and data

  7. Metadata management:a strategic priority for statistical systems

  8. Types of metadata

  9. Uses of statistical metadata • Data discovery • Define and describe data resources • Drive statistical production • Capture information about sources • Integral to the IT environment • Describe quality of outputs Source: Graeme Oakley, Australian Bureau of Statistics www.unescap.org/stat/apex/2/APEX2_S.4_conference_Statistical%20Metadata%20Standards.pdf

  10. International standards and guides • Excellent resources already exist • UNECE Working Group on Statistical Metadata (METIS) • Little guidance on metadata for development indicators

  11. Common Metadata Framework • Evolving online reference • Statistical metadata portal • Developed by experts • Maintained by UNECE • www.unece.org

  12. Handbook on Data and Metadata Reporting • Comprehensive guide to publishing metadata • Available in English and French • www.oecd-ilibrary.org

  13. Generic Statistical Information Model (GSIM) Generic Statistical Business Process Model (GSBPM)

  14. A guide for managers • Principles of good management • Explains Statistical Metadata in a Corporate Context • Central systems and tools • Vocabularies • Classification management • Question databases

  15. Benefits of managing metadata • Everyone uses up-to-date classifications and definitions • Gain resources • Higher morale and productivity • Capitalising on lessons learned • Easier for data users to understand • Increased trust in official statistics

  16. Metadata for MDG indicators Specific and succinct General and detailed

  17. Metadata for MDG indicators Specific and succinct General and detailed

  18. UNECE Recommendations

  19. Mandatory metadata 2. Data provider 1. Title describing data being presented 3. Statistical concepts and definitions

  20. Conditional metadata 5. Source data Total employment by status in employment (thousands) 4. Comparability (geographical and over time) 6. Symbols or abbreviations Source: LABORSTA (laborsta.ilo.org)

  21. Optional metadata 7. Accuracy 8. Contact information 9. References / relevant links

  22. Use as a checklist

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