In recent years, new professional roles such as data stewards have emerged at many universities. At TU Wien, we take a collaborative approach to research data management. Rather than relying on individual roles, we work with data steward teams.

Pilot with faculties

We are currently carrying out a pilot project together with the Faculty of Architecture and Planning, opens an external URL in a new window as well as the Faculty of Mathematics and Geoinformation. Each faculty contributes experts for different types of data, thereby covering a wide range of workflows, processing pipelines, services, and tools.

The aim is to clearly define the roles and tasks of data stewards, to distinguish between subject-specific and faculty-wide data stewards, and to clarify how they can collaborate most effectively with the Center for Research Data Management.

Center for RDM

Poster Data Story

We see ourselves as an interface between researchers and infrastructures and as a TU Wien–wide coordination hub for data stewards. Through our services and tools, we promote the quality, accessibility, and reusability of research data. In addition, we offer information and workshops that support Open Science and FAIR-principles-compliant data practices.

For further information on data stewardship support, please contact research.data@tuwien.ac.at.

Faculty of Architecture and Planning

[Translate to English:] Gabriel Wurzer

Data stewardship at the Faculty of Architecture and Planning supports digitally driven research practices such as computational design, simulation and modelling workflows, spatial analysis, and the management of complex and heterogeneous research data across architectural and planning disciplines.

For further information on data stewardship support at the Faculty of Architecture and Planning, please contact Gabriel Wurzer (Email: gabriel.wurzer@tuwien.ac.at).

Faculty of Mathematics and Geoinformation

[Translate to English:] Matthias Schramm

At the Faculty of Mathematics and Geoinformation, data stewards provide specialised support for handling large-scale geospatial and environmental data, including Big Data at the petabyte scale, and for implementing FAIR data practices in high-performance and data-intensive research environments.

For further information on data stewardship support at the Faculty of Mathematics and Geoinformation, please contact Matthias Schramm (Email: matthias.schramm@tuwien.ac.at).