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Quality Assurance Framework in the HCSO

This document discusses the quality framework in the HCSO (Hungarian Central Statistical Office), including projects, components, and the necessity of a systematic approach. It also explores the first steps towards a systematic approach, the strategy of the HCSO from 2005-2008, and various programs related to quality.

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Quality Assurance Framework in the HCSO

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  1. Quality Assurance Framework in the HCSO Katalin Szép, Erika Földesi, Szilvia Katona, Kornélia Mag, Judit Vigh Q2010 Helsinki

  2. Contents: Quality framework in HCSO: • Projects • Quality framework components Sequence Problems emerged Conclusions

  3. Necessity of systematic approachin HCSO First steps of systematic approach • Central methodological unit • Strategy of HCSO 2005-2008 www.ksh.hu(incl. Quality policy) • Program on quality framework: • Project on product quality (quality indicators, quality report) • Project on process quality (quality guidelines, process variables, self-assessment checklist) • Internal training course on quality

  4. Strategy of HCSO 2005-2008 Programs S104 Development of integrated data processing system S106 Quality of statistical products and processes S111 Development of meta-information system S401 Improving relations with respondents S502 Program planning and assessment system TQM principles Customer focus Supplier focus Process approach Quality and performance measurement Continuous improvement ….

  5. Quality Assurance Framework Quality requirements Assessment tools Measured quality-dimensions Measurement according to quality definition Reality Standards, requirements, User needs Quality guidelines External-, internal audit Feedback talks Self-assessment Action plans Process variables Quality report Quality indicators Statistical data Statistical production process

  6. Sequence of development phases - aspects • Follow logical order • Requirements, measurement, assessment • Take in use items developed • Not just to archive • Keep balance of cost-benefit • Time used – benefit in information • Avoid shocks and fears • Workload, indicator with explanation, not to judge people

  7. Sequence of development phases - steps • Complete terminology in Hungarian • Set up conceptual framework: • Quality concept, components • Vision of quality assurance framework, Strategic plan • Projects for statistical products and processes • develop requirements, • measurement and • assessment tools • Continuous training, communication

  8. Using tools developed Quality requirements Improvement action Evaluation Measurement, documentation Statistical processesand products

  9. Problems emerged • Limited resources, burden on staff • Motivation of statisticians • Competence building • Fluctuation of people • Forum for cross-cutting issues • Concepts, nomenclatures • Developments of standards • Implementation of standards

  10. Motivation of statisticians • Make use of existing knowledge, practices • Involve people in the development process • Proceed step by step, keep cost-benefit balance To avoid formal implementation!

  11. Forum for cross-cutting issues Involve staff in development of standards and rules and decision preparation Proposals for management only after consensus in the Board on Methodological Issues

  12. Board on Methodology Issues Development of Methodological or Quality standards • Preparation of proposal • Projects • Statistical research and methodology department • For opinion • Circulation among departments • Methodology board • Strategic development committee • Decision • President President Compulsory regulation Recommandation Strategic Development Committee Opinion Proposals … Statistical research and methodology department Project Project

  13. Competence building • Transparency – available programs, documents • Communication – keep quality on the agenda • Training – widening scope, adaptation to current needs – from concepts toward concrete tasks

  14. Internal synergies 2005 - 2010 • Tradition in standards (meta-driven systems) • Methodology unit • Strategy • Meta system (concepts, definitions, nomenclatures, documentation by statistical domains) • Planning and evaluation system • Other projects in the strategy

  15. External support • Availability of other NSI and Eurostat practices and experiences • LEG, Quality working groups • Eurostat grants, projects • Michael Colledge recommendations (pilot project) • Peter Lohauss et al, Thomas Burg trainings • DatQAM project – Thomas Körner • Maria Dologova (quality coaching) • CoP self assessment, peer review

  16. It is always faster to implement ideas based on examples but the adaptation and the integration in our competencies need time. Thank you for your attention! Katalin.Szep@ksh.hu Kornelia.Mag@ksh.hu Judit.Vigh@ksh.hu

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