solutions > quality and methodology in official statistics

Quality and Methodology in Official Statistics

Methodological assessment of data and metadata quality, statistical processing methods and survey procedures, with emphasis on quality parameters such as harmonisation, comparability and accuracy

• Additional dissemination of CIS 4 tabulated data: Quality assessment of the data of the 4th Community Innovation Survey (CIS4), data treatment for confidentiality protection, analysis of needs for relevant statistical information and definition of complex indicators and aggregates. (Eurostat, 2007)
• Quality Profiles for Structural and Sustainable Development Indicators: Quality profiles are user-oriented summaries of the main quality features of indicators.  The project involves the collection of methodological information, quality assessment and preparation of quality profiles for 54  Structural Indicators and Sustainable Development Indicators of Eurostat. (Eurostat, 2007)
• Methods and Tools for the Assessment of Data Quality: Development of methods, tools and standards for the assessment of quality of official statistics data, including comparability between countries, quality of flash estimates, quality indicators, as well as drafting of EU legislation for statistical data quality. (Eurostat, 2001-2005)
• Quality in External Trade Statistics: Statistical analysis of the asymmetries in statistics reported by Member States for intra-EU trade and production of documentation including the annual Eurostat Quality Report on Foreign Trade Statistics and the Mirror Leaflet. (Eurostat, 2004-2006)
• Labour Force Survey Module on Lifelong Learning: Methodology evaluation and quality assessment of the ad hoc module on lifelong learning incorporated in the 2003 round of the European Labour Force Survey; drafting of methodological recommendations for future data collection. (EC/DG Education & Culture, 2004-2005)
• Cultural Participation Survey: Development of a system of harmonised statistics of participation in cultural activities, based on assessment and quality evaluation of the Eurobarometer survey, as well as production of methodological guidelines on measuring cultural participation through a relevant EU household survey. (Eurostat, 2005-2006)
• FADN weighting Methodology: Analysis of EU-FADN (Farm Accountancy Data Network) and national weighting methodologies and of their contribution to discrepancies between EU and national farm accounting statistics; drafting of methodological recommendations for the reduction of discrepancies. (DG Agriculture, 2005)
• Methodological Assessment of Community ICT Surveys: Methodological analysis and assessment of the ICT Surveys in EU, partner countries, and international organisations, with emphasis on data quality and harmonisation issues. (Eurostat, 2003-2004)
• Passenger Mobility Statistics: Methodological support for the production of European car passenger mobility statistics: update of a database of national surveys and results, methodological analysis of the non-harmonised national surveys, design and piloting of harmonised data collection. (Eurostat, 2006-2007)
• European Working Conditions Survey: Quality assessment of the 2000 European Working Conditions Survey (EWCS), preparation of a Quality Assurance Plan of the survey, training on survey quality issues and quality audit of the 2005 EWCS. (EFWLC, 2005-2006)
• Meta-Analysis: Development of methodologies for the combination of results heterogeneous statistical surveys, which address the same or closely similar statistical questions, based on different data sources. (Eurostat, 1999)
• Statistical Indicators of Digital Economy: Statistical measurement of the evolution of the digital economy and its impact to the overall economic environment; investigation of specific methodological issues and formulation of methodological guidelines for the production of official statistics for the digital economy. (GSRT, 2001-2002)
• Quality Assessment of MARS predictions: Evaluation of the accuracy of agricultural crop yield forecasts produced monthly by the MARS unit of the Commission's Joint Research Centre (JRC), including evaluation of forecast error and comparison with the errors of other forecasting systems. (JRC, 2003)