Research projects generally go through a process of multiple phases – the research data cycle. Each individual phase of this cycle requires specific know-how to obtain significant results. GESIS offers researchers a unique package of social science services for the various phases of the research data cycle based on own research and expertise to make work more efficient for empirical social researchers and improving the quality of research:
- Planning studies and collecting data: GESIS experts advise on the collection of survey data and digital behavioral data. In the process, researchers are supported in the development of an adequate project design and the quality assurance of the implementation.
- Finding and accessing data: GESIS enables researchers to find suitable data for secondary analysis. For this purpose, over 6500 national and international studies are available in the GESIS data archive.
- Processing and analyzing data: GESIS supports the modification, linking and analysis of data.
Archiving and sharing: GESIS promotes scientific transparency in the sense of the FAIR principles: F(indable) A(ccessible) I(nteroperable) and R(e-usable). At GESIS, researchers find repositories and services to archive, register and share their data and publications in the long term.
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.
