Main Content

HeFDI Data Day 2026

Description
Registration
Programme
Talk Descriptions

The event will bring together researchers, data stewards, and research data management infrastructure experts to share practical examples and exchange experiences on how research data management processes and infrastructures can be effectively planned, implemented, and integrated within Hessian research institutions so that they can be successfully embedded in everyday scientific practice across disciplines.

The programme presents five contributions highlighting strategic developments and implementations within research groups of selected Hessian universitites. The event will open with a presentation marking the tenth anniversary of HeFDI, highlighting milestones and challenges in the development of research data infrastructures and shedding light on how coordinated collaboration across institutions improved the sustainable development of research data infrastructures in Hesse.

The HeFDI Data Day aims to foster collaboration and mutual learning by offering both institutional and project-level perspectives on RDM integration. The event is open to staff from Hessian universities and research institutions as well as to anyone interested in sustainable data practices.

The event will be held online in German and participation is completely free of charge.

For further questions, please contact hefdi@uni-marburg.de.

Register right here via REDCap!

Wednesday, 24th June 2026

Dr. Anja Thomas (HFD): Use of qualitative databases – experience report from a research perspective, D-EMU project

Qualitative data, such as interviews, are typically used only within the context of a specific project and are rarely made available to other researchers. Qualitative databases can help address this issue. The speaker has worked with qualitative databases both as a data provider and as a data user. She provides an overview of the significant potential for the reuse of interviews (not only for research, but also, where applicable, for teaching). She discusses the methodological challenges involved in analyzing interviews for reuse and describes the obstacles—such as legal hurdles—that may arise during reuse. Anja Thomas draws primarily on her research experience from her Marie Skłodowska-Curie project D-EMU (Democratic Elite Perceptions of the Economic and Monetary Union, funded by the European Union).

Stefan Lenze (UMR): DataHub at the University of Marburg: The comprehensive toolset for digital research workflows.

The generation of scientific results is usually based on the computer-assisted analysis of data. To optimally address the challenges of high-quality research data management, Philipps University of Marburg (UMR) coordinates a data protection-compliant, high-performance platform for active data management - the DataHub.

The DataHub supports affiliated researchers through:

• Central storage and computing resources: MaSC / MaRC3
• Services that enable the efficient use of these resources, in particular GitLab, JupyterHub, DSpace repositories, structured data collection (REDCap), and electronic lab notebooks (eLabFTW)
• Support for project-specific use of the services through policies, training, personal support, as well as consulting on the professional implementation and adaptation of digital research processes in various project contexts by the eResearch Service Center, subject-specific data stewards, and the respective service operators (e.g., HRZ Marburg).

The DataHub thus represents a compilation of centrally managed hardware, software services, and support that enables data to be planned, collected, described, processed, shared, and published in a traceable and transparent manner throughout the research data lifecycle, right from the start. In doing so, data protection requirements are upheld when sharing sensitive data. The DataHub promotes interdisciplinary and transdisciplinary research as well as applications of artificial intelligence. The DataHub empowers researchers to make their research data findable, accessible, interoperable, and reusable—in other words, FAIR.

The UMR DataHub is a generic infrastructure offering adaptable to various disciplines, developed in close collaboration with researchers, particularly those from the Cluster of Excellence “The Adaptive Mind.” The TAM DataHub is thus a discipline-specific iteration of the DataHub in the fields of psychology and neuroscience.

In this presentation, the most relevant offerings of the DataHub will be briefly presented in their respective application scenarios. Against the backdrop of the TAM DataHub, we will demonstrate how this offering can be successfully tailored to individual departments or collaborative projects.

Prof. Dr. Matthias Kowald (HSRM) & Mathias Begoin (FID Move): E-car - yes or no? Survey data and its publication on FID move

In 2020, a team from RheinMain University of Applied Sciences conducted interviews with citizens from Rüsselsheim am Main and the surrounding area (project "Electric City Rüsselsheim"). The aim was to record and analyse the mobility behaviour and acceptance of electric mobility among the population. At the centre of the extensive data collection was a decision experiment on adapting the existing household fleet depending on transport policy incentives. In short: electric car - yes or no? The data collection was published in the research data repository of the specialised information service for mobility and transport research (FID move) and is available for specialist audiences and civil society.

The FID move supports researchers in mobility and transport research with a comprehensive range of advice and information in the field of research data. This includes not only the topic of research data management and the associated issues, but also the problems associated with the procurement of subject-specific and relevant research data.

The presentation will provide insights into the collected data, the publication process and the FID move's portfolio of services in the field of research data and beyond.