1. Alice Born, Statistics Canada
QUALITY INDICATORS AND THE ROLE OF METADATA REPOSITORIES
METIS Work Session, Geneva
Alice Born, Statistics Canada
March, 2010

2. Improving our quality reporting
strengthen our quality management and assessment practice
Targeted quality reviews of survey programs
Focus on quality of released data – reduce number of data reloads
number of quality indicators have been developed – both at the aggregate level and at the survey program level
Provide guidance setting priorities – based on QAF dimensions – relevance, quality and efficiency – composite indicator

3. Aggregate indicators
StatCan redeveloped its performance indicators including quality of outputs based on the dimensions of QAF- accessibility, relevance and accuracy
also, organizational efficiency indicators (i.e., use of admin data, reduction of response burden)
Aggregate indicators are not linked to nor reported at survey level in our corporate metadatabase - IMDB

4. Detailed indicators
StatCan’s Quality Assurance Framework relates to Quality Management in the GSBPM
GSBPM used to review the quality assurance of selected survey programs
GSPBM used to identify sub-processes that have a greater risk of errors in quality
Detailed quality indicators and good practices were revised in StatCan’s Quality Guidelines which also refers to the GSBPM

5. Next steps
produce the same quality indicators in the departmental performance report in the IMDB – for each survey
produce data quality statements more consistently for surveys – based on StatCan’s 2009 Quality Guidelines
Can we go further? quality practices and indicators for each GSBPM sub-process in the IMDB