GESIS Leibniz Institut für Sozialwissenschaften

GESIS – Leibniz-Institute for the Social Sciences is the largest infrastructure institution for the Social Sciences in Germany. With more than 300 employees in two locations (Mannheim and Cologne) GESIS render substantial, nationally and internationally relevant research-based infrastructure services. Services offered by GESIS can be categorized from the users’ perspective according to the research data cycle. This cycle comprises data and information research, study planning, including empirical research data collection and storage, preparation, archiving and retrieval of research data, on up through the analysis and publication phases. Knowledge transfer is accomplished alongside research at all phases and GESIS supports its users through its own or joint research projects.
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Project manager:
Dr. Benjamin Zapilko

GESIS LOD Research Graph Project

The aim of this project is to build a trusted research graph that makes the connection between high-value collections (research datasets) and other scholarly works such as publications and grants discoverable. The focus will be to build such a graph across European and Australian data-infrastructures and demonstrating the collaboration network in the data-driven research projects. As part of this project, GESIS is implementing the Switchboard software -- developed by the DDRI WG -- to aggregate, connect and publish the research information from European partners such as DataCite, CERN, and DFG. This is in collaboration with the National Computational Infrastructure (NCI) and Research Graph Pty Ltd in Australia. In collaboration with Research Graph, NCI will create a graph of connections between Australian research datasets, Australian funding records and related ORCID profiles. Research Graph technology and the Switchboard software empower GESIS to connect these graphs. GESIS is working on making this connected network of scholarly communications available to other data infrastructures using the standardised web formats and linked open data.