INTRODUCTION Data has moved into the spotlight as an important scholarly output that should be shared with the scientific community for replication and re-use in new contexts. This has a direct impact on libraries, archives, and other service providers in the data curation and access landscape. DESCRIPTION OF PROJECT The GESIS Data Archive for the Social Sciences (DAS) has been curating and disseminating social science research data since 1960. The article presents tools, services, and strategies developed by the DAS to support the research community in adequately responding to the legal, ethical, and practical challenges that the transformation towards data-centric, open science presents. These include GESIS's Secure Data Center, the data publication platform "datorium" and a recent project to create a georeferencing service for survey data. LESSONS LEARNED The experiences gained through these activities show that getting involved-now, rather than further down the road-pays off in that it allows service providers to actively shape the ongoing transformation. At the same time, by cooperating with suitable partners, the effort and investment of resources can be kept at a manageable level for individual organizations.
The chapter "Applications of Research Data Management at GESIS Data Archive for the Social Sciences" explores ways in which an archive -i.e. an Organization whose work has a strong focus on preservation and dissemination of digital data -can become involved in research data management (RDM). The Data Archive looks back on a long history of working with researchers to make their data re-usable and accessible since 1960. Today it provides support for Research Data Management across the entire data lifecycle by offering a wide ränge of tools and Services tailored to the needs of different types of stakeholders.The chapter gives an overview of selected tools and Services offered in the areas of metadata and data documentation, data preparation, data publication, and long-term preservation. To illustrate how support for research data manage ment plays out in different settings, three case studies for typical scenarios are presented: 1) The European Values Survey (EVS), a large international longi tudinal survey studying basic human values across Europe. 2) The German Longitudinal Election Study (GLES), a national survey program with a comprehensive approach to gain insights into the German federal elections. 3) A data center in the health sector which decided to make data originally collected to support policy-making available to research.
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