getting the facts right a guide to presenting metadata with examples on millennium development
TRANSCRIPT
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GETTING THE FACTS RIGHTA guide to presenting metadata with examples on Millennium Development
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What are metadata?
data that defines or describes other data “information that is needed to be able to
use and interpret statistics” (Eurostat)
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With metadata Without metadata
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Source: United Nations Statistics Division (2003). Indicators for Monitoring the Millennium Development Goals.
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UNDP Guide to Measuring Human Development
“… a reference tool that provides guidance on statistical principles…”
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Metadata: particularly important for MDG-related reports and data
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Metadata management:a strategic priority for statistical systems
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Statistical metadata
Structural metadata
Reference metadata
Concepts Methods Quality
Types of metadata
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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
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International standards and guides Excellent resources already exist UNECE Working Group on Statistical
Metadata (METIS) Little guidance on metadata for
development indicators
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Common Metadata Framework Evolving online
reference Statistical
metadata portal Developed by
experts Maintained by
UNECE www.unece.org
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Handbook on Data and Metadata Reporting
Comprehensive guide to publishing metadata
Available in English and French
www.oecd-ilibrary.org
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Generic Statistical Business Process Model (GSBPM)
Generic Statistical Information Model (GSIM)
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A guide for managers
Principles of good management
Explains Statistical Metadata in a Corporate Context
Central systems and tools Vocabularies Classification
management Question databases
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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
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Interpret data being presented
Understand comparability
Detailed metadata
General and related information
Metadata for MDG indicators
Specific and succinct
General and detailed
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Mandatory
Conditional
Optional
Metadata for MDG indicators
Specific and succinct
General and detailed
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UNECE Recommendations
Mandatory
Conditional
Optional
1. Title describing data being presented2. Data provider3. Statistical concepts and definitions4. Comparability (geographical/time)5. Source data6. Symbols or abbreviations7. Accuracy8. Contact information9. References / Relevant links
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Mandatory metadata
1. Title describing data being presented
2. Data provider
3. Statistical concepts and definitions
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Conditional metadata
4. Comparability (geographical and over time)
5. Source data
6. Symbols or abbreviations
Total employment by status in employment (thousands)
Source: LABORSTA (laborsta.ilo.org)
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Optional metadata
7. Accuracy
8. Contact information
9. References / relevant links
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Use as a checklist
Mandatory 1. Title describing data being presented2. Data provider3. Statistical concepts and definitions
Conditional 4. Comparability (geographical / over time)5. Source data6. Symbols or abbreviations
Optional 7. Accuracy8. Contact information9. References / Relevant links
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