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Overview of quality work in Statistics Denmark

Overview of quality work in Statistics Denmark. Kirsten Wismer. Agenda. International quality systems CoP in the European Statistical System UN’s guidelines of Integrated E conomic Statistics Examples of quality work in Statistic Denmark I nstitutional environment Statistical processes

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Overview of quality work in Statistics Denmark

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  1. Overview of quality work in Statistics Denmark Kirsten Wismer

  2. Agenda • International quality systems • CoP in the European Statistical System • UN’s guidelines of Integrated Economic Statistics • Examples of quality work in Statistic Denmark • Institutional environment • Statistical processes • Statistical output • Maintaining qualified staff

  3. Quality assurance in the European Statistical System • European Code of Practice (adopted in 2005) • Revised in 2011 • NSI and Eurostat are coordinators in ESSC • Some new indicators e.g.: • Quality policy defined and public • Advance notice is given on major revisions • Statistical authorities implement a policy for training • More use of administrative sources and linking • Standardized solutions to increase effectiveness and efficiency • Monitoring European Statistical System (ESS) (82 indicators) • Institutional Environment (33 indicators) • Statistical processes (26 indicators) • Statistical Output (23 indicators)

  4. Institutionalenvironment • Strategy and planning • Strategy for the coming years (5 to 10) • CoP is the frame for quality work • Strategy 2015 (adopted in 2009) • Annual planning and follow up • Organisation of DST • Unit of methodology • Functional organisation of data collection and commercial activity • Focus on users • Good dialog through • advisory committees • working groups on specialised subjects • seminars • Maintain a high level of information

  5. Statistical processes • Long tradition for integrated statistics • High priority to national accounts • System of social statistic's • Common basic register • Population register • Business register • Register for dwellings • Developing common methods • on sampling, editing, seasonal adjustment etc. • GSBPM processes • process model in Statistics Denmark • Standardisation of processes • common IT-tools on data collection, data archives, editing, dissemination • gradual introduction

  6. Statistical output • Dissemination • Publication calendar and equal access to data • News release every day at 9.00 • Policy for corrections • From paper to internet • New homepage • Efficient data bank – very detailed • News release every day – few selected data • Still missing ‘in between’ • Solitary publications • Metadata • Quality declarations • under revision • measuring quality • Coherent system under way • Internal Forum for short term statistics • reviews before each publication • quarterly meetings

  7. Maintaining well qualified staff • Recruit and keep well qualified employees • Strategic development of qualifications: • Qualifications of our employees must be developed in line with current and future needs in Statistics Denmark • Training • Internal training • Training on the job, share knowledge • Courses in e.g. IT, statistical methods, English • External training • International activities, e.g. meetings in Eurostat, international advising • Conferences and seminars • Courses • EU-cooperation of courses in statistical domains • Other professional and personal competences

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