Focus Related Research


INTRA
Further information on INTRA projects can be found here:
Angewandte Programme for Inter- and Transdisciplinary Projects in Art and Research (INTRA)

Digital and social Transformation
This projects take place within the framework of “Digitale und soziale Transformation“ as a selected digitization project at public universities.

Projects are added on an ongoing basis.


FAIR Data Austria

The FAIR Data project contributes to strengthening the transfer of knowledge between universities, business and society and supports the sustainable development of the Europea Open Science Cloud.

Contact: Florian Bettel
The FAIR Data Austria project promotes cooperation between Austrian universities in developing coherent and robust research data services to support research data management with expertise and related tools. The implementation of the FAIR principles ("findable", "accessible", "interoperable" and "re-usable") plays a major role.

The FAIR Data Austria project is one of the selected digitisation projects at public universities that will be funded by the BMBWF from 2020 to 2024. The project partners are TU Graz (lead), TU WIen and the University of Vienna. In addition, the Academy of Fine Arts Vienna, the Medical University of Graz and the University of Innsbruck are involved in the project as cooperation partners, as well as 23 associated partners (universities and international initiatives - including the University of Applied Arts). FAIR Data Austria together with the also funded projects Austrian DataLAB and Services and RIS Synergy, form the Research Data Cluster which is coordinated by TU Wien. This project contributes to strengthening the knowledge transfer between universities, industry and society and supports the sustainable implementation of the European Open Science Cloud (EOSC). The implementation of the FAIR principles ("findable", "accessible", "interoperable" and "re-usable") plays a major role in this. Compliance with these principles is ensured by:

1. through integrated research data management (FDM), which is geared to the discipline-specific and generic needs of the research groups,

2. through the establishment and development of next-generation repositories for research data, code and other research outputs; and

3. by developing training and support services for efficient research data management.

Thus, "FAIR Data Austria" forms complementary building blocks for the projects "Austrian DataLab and Services" and "RIS Synergy" in the field of FDM.




Text: Information brochure "Digital and Social Transformation", Federal Ministry of Education, Science and Research, Vienna, January 2020