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) With metadata Without metadata Source: United Nations Statistics Division (2003). Indicators for Monitoring the Millennium Development Goals. UNDP Guide to Measuring Human Development “… a reference tool that provides guidance on statistical principles…” Metadata: particularly important for MDG-related reports and data Metadata management: a strategic priority for statistical systems Types of metadata Statistical metadata Structural metadata Reference metadata Concepts Methods Quality 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 International standards and guides Excellent resources already exist UNECE Working Group on Statistical Metadata (METIS) Little guidance on metadata for development indicators Common Metadata Framework Evolving online reference Statistical metadata portal Developed by experts Maintained by UNECE www.unece.org Handbook on Data and Metadata Reporting Comprehensive guide to publishing metadata Available in English and French www.oecd-ilibrary.org Generic Statistical Information Model (GSIM) Generic Statistical Business Process Model (GSBPM) A guide for managers Principles of good management Explains Statistical Metadata in a Corporate Context Central systems and tools Vocabularies Classification management Question databases 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 Producing statistics Using statistics Improving statistics Metadata for MDG indicators Specific and succinct Interpret data being presented Understand comparability Detailed metadata General and detailed General and related information Metadata for MDG indicators Specific and succinct Mandatory Conditional Optional General and detailed UNECE Recommendations 1. Title describing data being presented 2. Data provider 3. Statistical concepts and definitions 4. Comparability (geographical/time) 5. Source data 6. Symbols or abbreviations 7. Accuracy 8. Contact information 9. References / Relevant links Mandatory Conditional Optional Mandatory metadata 2. Data provider 1. Title describing data being presented 3. Statistical concepts and definitions Conditional metadata Total employment by status in employment (thousands) 4. Comparability (geographical and over time) 6. Symbols or abbreviations 5. Source data Source: LABORSTA (laborsta.ilo.org) Optional metadata 7. Accuracy 8. Contact information 9. References / relevant links Use as a checklist Mandatory 1. Title describing data being presented 2. Data provider 3. Statistical concepts and definitions Conditional 4. Comparability (geographical / over time) 5. Source data 6. Symbols or abbreviations Optional 7. Accuracy 8. Contact information 9. References / Relevant links