Running Time: January 2020 to December 2022
Project Lead: TU Graz
The FAIR Data Austria project is designed to strengthen knowledge transfer between universities, industry, and society und supports the sustainable implementation of the European Open Science Cloud (EOSC). Within the project, implementation of the FAIR principles (which mandate that research data be Findable, Accessible, Interoperable, and Reusable) plays a major role. Observation of the FAIR principles is secured through 1) integrated data management aligned with generic and discipline-specific needs of researchers, 2) development of next-generation repositories for research data, code, and other research outputs, and 3) development of training and support services for efficient research data management. FAIR Data Austria thereby offers tools to complement the Austrian Data Lab and Services as well as RIS Synergy projects.
Supporting the entire data lifecycle – from data generation all the way to data archiving – with the appropriate tools and expertise is essential to achieve efficient research data management according to the FAIR principles, a process that can only be successful when supported by all Austrian HEIs. The FAIR Data Austria project therefore supports the collaboration of Austrian universities in developing coherent services for research data, thereby securing Austria’s position within the international research landscape.
NEWS

Online Workshop “From Practice: Data Management at ZAMG ”
The last RDM in Austria webinar before the summer break gives an insight into the work of ZAMG, the Austrian institute for meteorology and geodynamics.

Report: Data Stewardship In The Making
As part of the Cluster Forschungsdaten Symposium on 23-24 May 2022, a report was published by the FAIR Data Austria team. This report contains project

Online workshop “How to Address Open Science in EU Projects”
With the start of the EU’s Horizon Europe, Open Science is a prerequisite for successful applications. But other funding bodies also increase their funding when

Webinar on Licenses for Research Data
In order to make research data (re)usable, they should be assigned a suitable license. Licences define how data may be used by others. As such,