Synergies for Europe's Research Infrastructures in the Social Sciences (SERISS) is a four-year project that aims to strengthen and harmonise social science research across Europe. It brings together leading European Research Infrastructures in the social sciences - ESS, the Survey of Health, Ageing and Retirement in Europe (SHARE ERIC) and Consortium of European Social Science Data Archives (CESSDA ERIC) - alongside organisations representing the Generations and Gender Programme (GGP), European Values Study (EVS) and the WageIndicator Survey.
Focused around three key themes – key challenges facing cross-national data collection, breaking down barriers between research infrastructures, and embracing the future of social sciences – SERISS will address issues relating to survey design and data collection, data management and curation from a collaborative, cross-national perspective. The project will better equip Europe’s social science data infrastructures to play a major role in addressing the key societal challenges facing Europe today and ensure that national and European policymaking is built on a solid base of the highest-quality socio-economic evidence.
SERISS has developed a suite of online tools, webinars and lectures to provide training on data management, data handling and harmonisation, as well as on statistical analysis to a wider social science community.
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Title | Description | Collections |
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Concepts in data harmonisation | During this Train the Trainer course, Kristi Winters (GESIS) discusses key concepts in variable harmonization. |
Training Discovery Toolkit |
Ethical and legal issues in managing and sharing data | Video is a talk by Libby Bishop (GESIS) on ethical and legal issues in managing and sharing data. |
Training Discovery Toolkit |
FAIR data management | Video is a talk by Anna Schwickerath (GESIS) on how to make your data findable, accessible, interoperable and reusable (FAIR). |
Training Discovery Toolkit |
Meeting funders’ requirements – archiving and data sharing | YouTube Video: This introductory webinar is for anyone who is involved in the collection of data and is considering making (some of) their data available in accordance with funders’ requirements. This webinar aims to raise awareness about relevant key data management practices for sharing, specifically regarding data documentation, gaining consent, and data anonymisation. it provides a short theoretical introduction, including what FAIR means and how it is implemented, as well as practical illustrations drawing on a large-scale cross-national survey (the European Social Survey). It also provides some practical tips with respect to data archiving, in particular how to choose an appropriate archive or repository. |
Training Discovery Toolkit |