2nd SERISS Advisory Board Meeting

On March 15 the Review Board of the EU-funded project Synergies for Europe’s Research Infrastructures in the Social Sciences (SERISS) met in London. The project brings together cross-national European survey programs and research infrastructures, the European Social Survey (ESS), the Survey of Health, Ageing and Retirement in Europe (SHARE ERIC), and the Consortium of European Social Science Data Archives (CESSDA AS) among others.

The major themes addressed by SERISS are

  • Challenges of cross-national data collection
  • Breaking down barriers between infrastructures
  • Embracing the future of the social sciences (specifically, new forms of data, their collection and analysis) (see http://seriss.eu/about-seriss/project-overview/).

SERISS seeks to foster quantitative social research in Europe by providing solutions to challenges along the entire research data lifecycle with a focus on data preparation and data dissemination.

During the second SERISS meeting in London, the work package leaders gave updates on the current status of activities, discussing the ongoing work as well as further opportunities for collaboration.

CESSDA AS is involved in various tasks, e.g. in the development of interactive tools for cross-national surveys, a project management platform in particular, as well as in trainings and dissemination of SERISS outputs. Thus CESSDA Training and its partners will design and deliver face-to-face trainings on research data management and on the software applications that are currently being developed within SERISS. Thereby, we aim to improve research data management as well as data dissemination for secondary use and to spread the benefits of the project within the research community.

Published by

CESSDA Training

CESSDA Training offers and coordinates training activities for CESSDA, the Consortium of European Social Science Data Archives (http://www.cessda.net/). Hosted by the GESIS - Leibniz Institute for Social Sciences, our center promotes awareness throughout the research lifecycle of good research data management practice and emphasizes the importance of long-term data curation.

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