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Name Franz Ferdinand Eiffe , Kathrin Gärtner, Alexandra Wegscheider-Pichler Email [email protected], [email protected], [email protected], Project title Creating Infrastructures / Building Capacities – Facilitating networking between statisticians and researchers regarding data production and analytical processes Project Objectives: idea description We aim to develop a framework for the streamlining of data production processes and analytical capacity building. The proposed design involves three main elements: Mobility Training Tools Needs: Recent developments indicate a growing demand for data beyond existing indicators. At the same time, in particular the small NSIs suffer from financial and capacity constraints. Thus exchange of experience in production processes and analytical capacities is essential to maintain the quality standards and make progress in the modernisation of the statistical production process. A pooling of resources for research and development would be needed to improve such processes, to offer adequate tools of communication/exchange between NSIs and to link Official Statistics to the research community. Exchange between NSI staff needs to be coordinated by providing communicational platforms and training facilities. Opportunities for short visits of NSI staff to partner or scientific institutions should be provided to learn about production routines, survey and questionnaire design or imputation procedures etc. The statistical production process in general would be facilitated by improving cooperation in these areas and by developing standardised and easy adoptable tools. NSIs need trained and skilled personnel which can be recruited through close contact between NSIs and academia. Furthermore, input from academic research is necessary to improve methodologies and analytical capabilities. Researchers on the other hand need insight into data production processes to develop sensitivity in data interpretation. Former/similar projects: NET-SILC 2 (Workpackage CO & ME – Longit 2) (capacity bulding: workshop on longitudinal data analysis) EPUNET (provided a forum for support and pooling of experience among new and experienced analysts of the European Community Household Panel) Measures: 3 “pillars”: mobility, training, tools - travel grants for staff of small NSIs (other NSIs, academic institutions) - support of cooperative projects which develop tools that can be used by different NSIs - Conferences and workshops to build networks between statisticians and academia - A platform for exchanging common tools - Metadata surveys which go beyond standard quality reporting Potential projects/examples: A researcher’s network on the production of data for Europe 2020 Indicators GDP & Beyond: Developing environmental indicators / indicators on job quality Network on harmonising methods to produce standardised Now-Casts for Europe 2020 Indicators / GDP & Beyond Indicators so that data on QoL or environment is up-to-date (and therefore comparable) with GDP Partners needed Main beneficiaries will be staff of small NSIs. Additionally partners from academic and research institutions as well as social science data archives are invited (e.g. GESIS). Link with official statistics Direct link Link with Horizon 2020 The proposal addresses priorities I (excellent science) and III (Societal challenges) of Horizon2020. It promotes excellent science by facilitating knowledge transfer and survey data access between NSIs and academic institutions. It tackles societal challenges by improving survey data (especially in small countries) as basis for evidence-based policy decisions. Especially relevant: Innovative societies 6.2.1. S Strengthening the evidence base and support for the Innovation Union and European Research Area