Services
University Library
Research data management refers to the entire life cycle of research data - from the planning, generation, analysis, processing, and securing of research data, to its documentation, archiving, and publication, to any subsequent use by third parties.
A planned and structured handling of research data and an early clarification of responsibilities can contribute significantly to an efficient implementation of research projects. Research data, as well as the conventions and requirements for handling them, can vary greatly from discipline to discipline. If you want to learn more, please contact the Research Data Management Coordination Office for information about your discipline.
Contact: helmut.klug@uni-graz.at
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AUSSDA (Austrian Social Sciences Data Archive)
This is a national infrastructure institution for the social sciences. The University of Graz is one of currently three AUSSDA locations, along with the Universities of Vienna and Linz. The on-site team supports researchers in archiving and making their data available. Archived data sets as well as documentation material on past studies can be searched and obtained for secondary analyses via the AUSSDA Dataverse digital repository.
Contact: https://centrum-sozialforschung.uni-graz.at/de/
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Center for Information Modeling - Austrian Centre for Digital Humanities
With GAMS (Humanities Asset Management System) the ZIM-ACDH has been operating a successful research infrastructure for years. There the results of research projects in the cultural sciences and humanities are digitally preserved. In the course of the project implementation, in which staff members of the Center for Information Modeling are part of the project team, individual solutions will be implemented. These focus on special needs for archiving, analysis, and visualization tasks, which often occur in the humanities.
Contact: elisabeth.steiner(at)uni-graz.at
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IDea_Lab
The function of the Data_Lab is to provide a socio-technical research infrastructure for researchers at IDea_Lab and the University of Graz, which supports the technical-methodological planning and implementation of data-intensive research projects and enables and facilitates the technical, intellectual and legally secure (post-)use of data and software in interdisciplinary, data-intensive contexts. In particular, data-intensive research projects on issues of digital transformation in the context of democracy are supported.
