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Fellowship of the Data Meeting 2026

We were there when the international RDM community met at the University of Vienna on 21 and 22 September.

The photograph shows a presentation board with two women standing in front of it. In the foreground, you can see the audience sitting down.

© Universität Wien / Jennifer Panis

Ilire Hasani-Mavriqi and Barbara Sanchez Solis during the Q&A session following their keynote speeches on "Lobbying for RDM".

The event series

Following two Fellowship of the Data community meetings in Germany in 2023 and 2025, this year, the event took place in Austria for the first time. The aim was to network, drive progress together, and expand both individual and collective opportunities in RDM support.

The meeting at the University of Vienna featured an international line-up of speakers and guests from 15 countries; most guests had travelled from Austria, Germany, the Czech Republic and Luxembourg. The programme included presentations on various data stewardship infrastructures and RDM business models, a large poster exhibition, and workshops for RDM newcomers, on RDM maturity models, and on reflecting on one’s own negotiation style. During the well-timed breaks, there were lively discussions and networking.

The next Fellowship of the Data meeting will take place from 18 to 20 October 2027 at the University of Luxembourg.

Our contributions

In her keynote speech on Exploring Data Stewardship as a New Career Path, opens an external URL in a new window, Barbara Sanchez provided insight into a TU Wien pilot project that aims to establish integrated data stewardship teams within the faculties. These so-called research data experts wear several hats: They combine RDM knowledge with domain expertise, actively conduct data-driven research, have comprehensive knowledge of common tools and repositories, are embedded in a research community, and define, document, and communicate RDM processes within their faculties. The pilot project, involving researchers from two faculties, is coordinated by the Center for RDM and will run until the end of 2027.

In addition, the Center for RDM presented four posters that showcased a broad spectrum of our RDM topics and were partly produced in collaboration with partners:

  • DAMAP Cloud. Shared Infrastructure, Better DMPs
    The latest release of the open-source tool for creating machine-actionable data management plans introduces DAMAP as a cloud-based shared service, removing the need for institutions to run and maintain their own deployment. Data stewards and their institutions can join the service and start supporting researchers immediately.
  • dataTUtransform: Making FAIR Data Actionable for AI and RDM at Scale
    This TU Wien initiative transforms proprietary, heterogeneous research outputs into interoperable, AI-ready assets through executable, transferable applications. It bridges the gap between policy and practice with concrete code interfaces, converters and workflows validated through use cases across chemistry, physics and microelectronics.
  • I know that from forschungsdaten.info
    forschungsdaten.info is the central information platform on research data management in German-speaking countries. The Austrian pages aim to provide an overview of Austria’s RDM landscape by collecting information on RDM-related policies, tools, projects, initiatives, networks and – currently in preparation – data stewardship solutions in Austria. 
    https://doi.org/10.5281/zenodo.22918492
  • RDM at TU Wien: From Researcher Awareness to Researcher Action
    The poster illustrates how insights from interviews informed the design of targeted data stewardship training, what skills the participants developed, and how this strengthens TU Wien’s institutional RDM capacity. It highlights practical tools, training outcomes and lessons learnt to support other institutions in scaling up faculty-centred data stewardship.
    https://doi.org/10.5281/zenodo.22937835

Two of the posters were also presented during the poster pitch session. 

Further information

Contact

TU Wien
Center for Research Data Management
research.data@tuwien.ac.at