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Statistics Canada’s Quality Assurance Framework A brief overview and lessons learned

Statistics Canada’s Quality Assurance Framework A brief overview and lessons learned. Claude Julien Director, Business Survey Methods Division and Head of Quality Secretariat. Outline. Developing the framework Implementing the framework Updating the framework

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Statistics Canada’s Quality Assurance Framework A brief overview and lessons learned

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  1. Statistics Canada’s Quality Assurance FrameworkA brief overview and lessons learned Claude Julien Director, Business Survey Methods Division and Head of Quality Secretariat

  2. Outline • Developing the framework • Implementing the framework • Updating the framework • Support from International Organizations

  3. Developing the framework • Long history of good practices • Audit on quality management • Self-assessment based on a framework • Framework was developed in 1997 • Definition of quality along 6 dimensions • Management of each dimension • Use for assessing 4 programs • Framework was revised in 2002

  4. Lessons learned • Support from management is essential • External impetus will help • By the NSO for the NSO • Describe management practices • Articulate them around a template • Identify, prioritize and fill any gaps

  5. Implementing the framework • Quality Secretariat • Training and Consultation • Maintaining and enhancing related policies, standards and guidelines • Quality Guidelines • Program Reviews

  6. Lessons learned • Support from management is essential • Part of program planning and evaluation • Part of career development • Communication

  7. Updating the framework • Errors in published data • Quality Reviews • Record, analyze and report on every correction • StatCan’s mandate: Provide access to a trusted source of statistics • Accessibility • Trust = Relevance + Quality • Organizational efficiency • Corporate Business Architecture

  8. Lessons learned • Quality Gap • Sustain and renew awareness of quality • Support from management is essential • External impetus will help • Use of Generalized Statistical Business Process Model (GSBPM)

  9. International organizations • Provide an additional impetus to develop NQAFs • Seek agreement on a standard template and terminology • Develop a training and knowledge transfer strategy • Provide opportunities to share experiences and issues • Stimulate and coordinate research

  10. For more information, please contact: Pour plus d’information, veuillez contacter : Contact information Claude.Julien@statcan.gc.ca

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