Chapter 9: Data Quality and Metadata OG5 Cork, Ireland February 2010.

Chapter 9: Data Quality and Metadata

OG5Cork, Ireland

February 2010

2 Statistics Canada • Statistique Canada

Overview

Summary of key changes to DRAFT Chapter 9 Review and comments Eurostat Issue Paper: “Monitoring Quality of

Energy Statistics” (Roeland Mertens)


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


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


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


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


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)


Comments or questions about DRAFT Chapter 9?

Andy Kohut, DirectorManufacturing and Energy Division

Statistics [email protected]

Chapter 9: Data Quality and Metadata OG5 Cork, Ireland February 2010.

Documents

Transcript of Chapter 9: Data Quality and Metadata OG5 Cork, Ireland February 2010.