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The European Statistical System Peer Reviews: Results, experiences and lessons learnt

The European Statistical System Peer Reviews: Results, experiences and lessons learnt. CCSA Conference on Data Quality Rome, 7-8 July 2008 Martina Hahn, Eurostat. ESS Peer reviews. Objectives monitoring of the implementation of the Code of Practice

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The European Statistical System Peer Reviews: Results, experiences and lessons learnt

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  1. The European Statistical SystemPeer Reviews:Results, experiences and lessons learnt CCSA Conference on Data Quality Rome, 7-8 July 2008 Martina Hahn, Eurostat

  2. ESS Peer reviews • Objectives • monitoring of the implementation of the Code of Practice • to boost quality, to enhance credibility of European statistics • identification of ESS benchmarks and common difficulties • sharing of ESS best practices and knowledge transfer • Scope • 27 EU MS + 4 EFTA MS + Eurostat • institutional environment and dissemination practices • co-ordination role of NSI

  3. High overall ESS compliance levels

  4. sufficient legal mandate for NSI, practical difficulties to use admin. data Strong in practice, legislation to be supplemented in some SAs to reinforce independence Strengths of the ESS High diversity across ESS; lack of transparency in some cases Strong legal basis, impressive safeguards across the ESS; excellent practices in micro-data access

  5. Areas of improvement for the ESS • High service orientation; • modern dissemination channels; • some SAs need to improve metadata and accessibility Broadly satisfactory resources, some severe exceptions and risks for meeting future demands Lowest compliance levels compared to other principles, improvements needed on the ESS- wide scale

  6. ESS best practices for compliance with the Code of Practiceby other national producers of European Statistics(not the NSI) • Statistical law covering all actors at national level • delineation of the statistics function • co-ordinated community (recruitment, training, ethical standards) • common dissemination platform • labelling/certification mechanism

  7. Experiences • CoP as assessment framework • 4 indicators fully met by (almost) all • “not met” limited to 5 indicators • overlaps, precision of concepts • Suitability of PR methodology • quality assurance by Eurostat • validity of results confirmed by quantitative analysis • importance of qualitative • High investments • Peers: 31 peers from 18 countries + 18 from Eurostat + 2 from IOs • NSIs: about 600hrs in total • learning curve

  8. Lessons learnt • successful exercise, benefits going beyond objectives • adequate scope – future domain specific reviews? • evolution of the Code of Practice (new benchmarks, modification of indicators) • quantitative and qualitative results • limit number of peers • improvement of user satisfaction survey methodology • good practices – more guidance

  9. Thank you for your attention! http://ec.europa.eu/eurostat/quality

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