The Conference encompasses relevant topics on quality – the different areas covered are as follows.

I. Institutional environment and governance

  • Ethics in the context of evidence based decision making
  • Implementation of the amendment to Regulation 223/2009 and the coordination role of the National Statistical Institutes
  • The new, modernised legal framework of the ESS, using legislative framework for the different families of statistics
  • Experiences with the Commitments on Confidence
  • The 2013-2015 peer reviews: lessons learned and reflections on next steps
  • Towards a second revision of the ES Code of Practice
  • Quality in a more integrated European Statistical System, challenges faced
  • Adequacy of resources in a competitive environment for official statistics
  • Human resources aspects: education in statistics, networks of education facilities, training
  • Cooperation with researchers
  • Product list and definition of EU statistics

II. Quality of statistical processes and outputs, quality assurance 

  • Quality: the users’ perspective
  • New quality measurement methods; quality assessments and quality indicators
  • Communicating quality to users, quality reporting; branding and labelling; indicator profiles
  • Metadata standardisation and centralisation, metadata registries; paradata and quality
  • Re-engineering and re-designing statistical production, modernisation; integrated production methods
  • The future of standards in statistics
  • Data confidentiality and data quality, a trade off?
  • Quality in business statistics, trans-border statistics: global enterprises, profiling, etc
  • Quality in social statistics, measuring quality of life, etc.
  • Comparability of European statistics
  • Quality of census (movie/snapshot approaches); migration ; demography
  • Quality in macro-statistics: the new production boundary and the ESA 2010; globalization and the GDP; sustainable development and GDP measures

III. ESS Vision 2020 and its Quality key area 

  • Quality in the Vision 2020, the ESS Vision 2020 Implementation Portfolio and its quality aspects
  • Enterprise architecture for statistical production;
  • Big data and quality
  • Data revolution: quality challenges for tourism statistics as an example
  • Quality and multi-sources statistics;
  • Administrative data and quality
  • Validation
  • Exchange of microdata: current issues

IV. The production of official statistics: a changing landscape

  • Towards integration of statistical and geospatial information
  • Role of data scientists in statistical production
  • Role of official statistics in the information and knowledge-driven society
  • Open / linked data
  • Design versus model based inference; use of modelling in official statistics; impact on quality and Code of practice
  • Comparability: input/output harmonisation
  • Partnership between public/private organisations