Transcript Chapter 9 Data Quality and Metadata

Chapter 9:
Data Quality and Metadata
OG5
Cork, Ireland
February 2010
Overview
 Summary of key changes to DRAFT Chapter 9
 Review and comments
 Eurostat Issue Paper: “Monitoring Quality of
Energy Statistics” (Roeland Mertens)
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Statistics Canada • Statistique Canada
Key Changes to DRAFT Ch. 9
 Quality Assurance, not Quality Assessment
 Quality must be examined continuously
 There are many examples of QAF in different
countries – we must share best practices and
encourage harmonization
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Statistics Canada • Statistique Canada
Key Changes to DRAFT Ch. 9
 Input from Statistics Canada paper to be
presented to the UNSC (Feb 2010)
• Proposes a generic, quality assurance framework
• Emphasizes the importance of “efficiency”
• Presents dimensions of Quality in two categories:
 Static
 Dynamic
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Key Changes to DRAFT Ch. 9
 Static dimensions of quality are of constant
concern and tend to evolve relatively slowly.
They include:
 Relevance
 Credibility
 Accuracy
 Timeliness
 Coherence
 Accessibility
 Interpretability
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Key Changes to DRAFT Ch. 9
 Dynamic dimensions of quality are more
variable, and may change with the environment.
They may deteriorate without proactive effort,
and therefore require continuing attention simply
to maintain the status quo. Examples:
 Non-response
 Coverage
 Sampling
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Key Changes to DRAFT Ch. 9
 Added a generic, national, quality assurance
template (page 127)
 Added a template for metadata – Information
that should accompany statistical releases (page
133)
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Comments or questions
about DRAFT Chapter 9?
Andy Kohut, Director
Manufacturing and Energy Division
Statistics Canada
[email protected]
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