- Key data
- Overview
- Formation
- Goals
- Annual reports
KEY DATA
Management: Dipl.-Ing. Sabine Neff, MSc;
RIS Synergy
Duration: Mar 2020 – Mar 2024
Lead: Dipl.-Ing. Sabine Neff, MSc; TU Wien
FAIR Data Austria
Duration: Jan 2020 – Dec 2022
Lead: Dipl.Ing. Dr. techn. Ilire Hasani-Mavriqi, BSc.; TU Graz
Austrian DataLAB and Services
Duration: Jul 2020 – Jun 2024
Lead: Dipl.-Ing. Dr.techn. Ernst Haunschmid; TU Wien
OVERVIEW
Research generates knowledge, and produces and processes data. Concepts must be developed and implemented to coordinate the interaction between research information systems and research data management infrastructures with the aid of digital technologies.
In the “Research Data” cluster, several Austrian universities have joined forces with three national funding organisations – the Austrian Science Fund (FWF), the Austrian Research Promotion Agency (FFG), and the Vienna Science and Technology Fund (WWTF) – in order to meet these challenges. The cluster comprises three funded projects that emerged from the 2019 call for tender “Digital Transformation in Higher Education” by the Federal Ministry of Education, Science and Research (BMBWF). The three projects – RIS Synergy, FAIR Data Austria and Austrian DataLAB and Services – were launched in 2020.
FORMATION
GOALS AND TASKS OF THE “RESEARCH DATA” CLUSTER
- Optimising the interfaces between the projects RIS Synergy, FAIR Data Austria and Austrian DataLAB and Services
- Identifying other possible synergies to create sustainable operational systems
- Joint presentation and information
In addition to the individual project reports, the cluster management also prepares annual progress reports and a final report.
Cluster coordination
The TU Wien is responsible for coordinating the Research Data cluster. Univ.Prof. Dipl.-Ing. Dr.techn. Johannes Fröhlich, Vice Rector for Research & Innovation, formally leads the cluster while Dipl.-Ing. Sabine Neff, MSc, TU Wien, Department of Research Information Systems, manages the cluster operationally.
Coordinating the cluster ensures that the projects also coordinate and exchange content, schedules and work packages. A steering group was set up to coordinate and monitor the implementation of the Research Data cluster. The individual projects are handled independently by the respective project leads.