GESIS is a research-based infrastructure institution for the social sciences and conducts its own continuous and interdisciplinary research in four major research areas. The results of our research serve both to gain scientific knowledge and to sustainably improve our offerings for the social sciences.
For GESIS, the quality of data takes center stage. GESIS strives to provide high-quality research data as well as methods and tools that enable users to assess for themselves how high the quality of research data is.
With our research work in the areas of Survey Methodology, Computational Methods, Research Data Management and Substantive Research, we are constantly expanding and optimizing our portfolio of services, with which we support researchers who work with quantitative data on social science issues and make their own contributions to fundamental substantive issues.
Zapilko, Benjamin, and Brigitte Mathiak. 2011. "Performing statistical methods on linked data." DC-2011 - The Eleventh International Conference on Dublin Core and Metadata Applications.
Zapilko, Benjamin, and Brigitte Mathiak. 2011. "Defining and Executing Assessment Tests on Linked Data for Statistical Analysis." In Proceedings of the Second International Workshop on Consuming Linked Data (COLD2011), edited by Olaf Hartig, Andreas Harth, and Juan Sequeda, CEUR Workshop Proceedings 782. http://ceur-ws.org/Vol-782/ZapilkoAndMathiak_COLD2011.pdf.
Hienert, Daniel, Benjamin Zapilko, Philipp Schaer, and Brigitte Mathiak. 2011. "Vizgr - combining data on a visual level." In WEBIST 2011, Proceedings of the 7th International Conference on Web Information Systems and Technologies, Noordwijkerhout, Netherlands, 6-9 May, 2011, edited by José Cordeiro, and Joaquim Filipe, 202-211. https://arxiv.org/pdf/1104.5377v1.
van Hoek, Wilko, Brigitte Mathiak, Philipp Mayr, and Sascha Schüller. 2011. "Comparing the accuracy of the semantic similarity provided by the Normalized Google Distance (NGD) and the Search Term Recommender (STR)." 10th European NKOS Workshop at TPDL 2011.
Lipinsky, Anke. 2026. "Geschlechtsbezogene Gewalt in der Wissenschaft: Strukturen, Dynamiken, Konsequenzen." https://www.leuphana.de/einrichtungen/gleichstellung/aktuell/termine/ansicht/2026/03/09/geschlechtsbezogene-gewalt-in-der-wissenschaft-strukturen-dynamiken-konsequenzen.html , Leuphana Universität, 2026-03-09.
Kessling, Philipp, and Felix Victor Münch. 2026. "Riding the Spider: A Network-Sampling Framework for Multi-Platform Data Collections." M&K Medien & Kommunikationswissenschaft 1 (74): 52-70. doi: https://doi.org/10.5771/1615-634x-2026-1-52.
Darius, Philipp, Johannes Breuer, Simon Kruschinski, Felicia Loecherbach, Jasmin Riedl, and Sebastian Stier. 2026. "Election research in the age of regulated data access under the EU Digital Services Act." Internet Policy Review 1 (15): 1-25. doi: https://doi.org/10.14763/2026.1.2080.
Asensio Manjon, Marc, Anna De Castellarnau, Barbara Felderer, Carlos Poses, Lydia Repke, Melanie Revilla, Willem E. Saris, Hannah Schwarz, and Wiebke Weber. 2026. SQP 3.0 data (Version 1.0.0). doi: https://doi.org/10.7802/2968.
Wiltshire, Deborah, Anne van der Kant, Bolton Sharon, Maria Alexandra Rujano, Christian Ohmann, Eugenio Gonzalo Jimenez, Anne-Marie Tuikka, Marcos Casada Barbero, Beate Lichtwardt, and Sharon Bolton. 2025. EOSC-ENTRUST D7.1 Driver validation report of Year 1 EOSC-ENTRUST architectural blueprint including gap analysis. zenodo. doi: https://doi.org/10.5281/zenodo.14988868.
