Data Stewardship goes Germany 2025

Session

Poster Session

Sep 30, 2025, 2:15 PM

32. A Global Network for Data Stewards at the MWS – Chances and Challenges

9/30/25, 2:15 PM

The Max Weber Foundation – German Humanities Institutes Abroad (Max Weber Stiftung – Deutsche Geisteswissenschaftliche Institute im Ausland (MWS)) supports German research in the humanities abroad and acts as a link between the host countries and Germany. The institutes are distinguished – among other things – by the diversity of research focus, scope, methods and funding providers.

In...

9. AI-assisted data annotation for biomedical research consortia

9/30/25, 2:15 PM

Accurate and complete metadata is key for making research data findable and thus potentially reusable. However, since data annotation is a tedious and time-consuming process, compliance is often low, leading to missing or incomplete data set descriptions. A possible solution to this problem is the automatic extraction of metadata from data files and associated documents such as research...

34. Assessing Data Management and Compliance in Large Research Collaborations for Consent, Data Sharing, and Knowledge Transfer

9/30/25, 2:15 PM

This paper addresses the complex challenges of data management, compliance with legal and ethical standards, and knowledge transfer in large-scale collaborative research centers (CRCs), particularly in the context of linguistic data. The management of sensitive information, such as personal and health data, and the need for proper anonymization of audio and video recordings, pose challenges...

35. Best practices for using tiered storage in research

9/30/25, 2:15 PM

Research today generates vast amounts of data which has to be analyzed, stored and, eventually, archived. This often necessitates the use of large storage systems, which consume considerable amounts of energy and natural resources. Therefore, it is paramount to use these storage systems in an efficient manner. To achieve this goal, it is necessary to use a tiered combination of different...

28. Beyond the ELN: RSpace as an Integrator for Data and Metadata in the Research Data Lifecycle

9/30/25, 2:15 PM

Research data management increasingly requires seamless integration of multiple components across the entire research lifecycle. While Electronic Laboratory Notebooks (ELNs) provide crucial functionality for experimental documentation, today's data-intensive research demands more comprehensive solutions that connect primary data generation, analysis, and preservation workflows.
This...

22. Building Bridges through Trust – Data Trusteeship as a Key Enabler for Science-Industry Data Sharing

9/30/25, 2:15 PM

Collaborations between academia and industry are essential to address complex societal challenges—but they often fail due to a lack of trust in data sharing. While intra-academic data sharing is increasingly supported by established infrastructures and norms, researchers remain reluctant to share data with commercial actors. Concerns about data misuse, loss of control, or legal liability...

33. Click, Upload, Confuse? Usability Testing of Dataverse and FAIRDOM-SEEK"

9/30/25, 2:15 PM

As research across disciplines becomes increasingly data-intensive, effective and user-friendly data management platforms are essential. Among the most widely adopted tools are Dataverse and SEEK, both designed to support FAIR (Findable, Accessible, Interoperable, Reusable) data practices. While each platform offers robust capabilities for data curation, sharing, and metadata management, there...

10. Collaborative Infrastructure: Data Stewards and the Base4NFDI Service Ecosystem

9/30/25, 2:15 PM

The German National Research Data Infrastructure (NFDI) initiative Base4NFDI addresses interdisciplinary challenges in research data management by supporting the development and integration of cross-domain basic services. This poster introduces a selection of Base4NFDI services and highlights the pivotal role data stewards play as stakeholders, contributors, and multipliers in their...

20. Curate Me If You Can: Repository Metadata in re3data

9/30/25, 2:15 PM

The Registry of Research Data Repositories re3data is a major directory of research data repositories that makes metadata on repositories for the permanent storage and access of data sets openly available according to re3data’s Metadata Schema Version 4.0 (https://www.doi.org/10.48440/re3.014). The international index currently lists over 3350 digital repositories across all scientific...

38. Data Accessibility and Reusability Engine (DARE)

9/30/25, 2:15 PM

The widespread adoption of Electronic Laboratory Notebooks (ELNs), repositories, and other Research Data Management (RDM) and Research Software Engineering (RSE) tools has created a wealth of digital research artifacts. However, the lack of standardized formats and metadata hampers the efficient extraction, sharing, and reuse of these valuable resources. By developing a system to extract...

13. Data formats for UV-Vis spectra and particle/pore size distributions

9/30/25, 2:15 PM

Our collaborative research center is specialized in the rigorous design of particulate products. This includes the formation of particle systems through synthesis, the separation, classification, and characterization of these systems, and the simulation and optimization of synthesis and chromatographic separation. In this context, we have identified a lack of standardized formats for...

45. Data Organization Made Easy: Comprehensive Folder Structure Template for Early Career Life/Natural Science Researchers

9/30/25, 2:15 PM

Creating findable, accessible, interoperable, and reusable (FAIR) data and metadata is essential for researchers. Effective research data management (RDM) is crucial for achieving this, as recognized by funding organizations. Both data FAIRness and RDM rely on well-structured and documented data, including organized storage in a clear folder structure. Establishing a suitable folder structure...

17. Data Stewardship in Everyday Research: Use Cases and Best Practices at HZDR

9/30/25, 2:15 PM

Research data management (RDM) requirements have intensified over the past several years, particularly at large-scale Research Institutes (RI). At the Helmholtz-Centre Dresden-Rossendorf (HZDR), the interaction between internal processes and external developments illustrates this shift: growing demands for Open Science and FAIR data, funding policies of the DFG and the EU, the formation of...

8. Implementing FAIR in Practice: A Data Steward’s Perspective from the MultiplEYE Project

9/30/25, 2:15 PM

This contribution presents a practical use case of embedded data stewardship within the ongoing MultiplEYE project—a large-scale, collaborative COST Action that aims to create a standardized, multilingual eye-tracking-while-reading dataset across more than 30 countries and 35 languages. As a Data Steward from the Leibniz Institute for Psychology (ZPID), I am embedded in the project’s core...

6. KONDA: An LLM-based Tool for Semantic Annotation and Knowledge Graph Creation Using Ontologies for Research Data

9/30/25, 2:15 PM

21. Learning through Experience: Bootstrapping an Electronic Lab Notebook as a central IT-Service for Thuringian universities – Challenges and Lessons Learned (*)

9/30/25, 2:15 PM

Electronic lab notebooks (ELNs) have emerged as vital tools in modern research, significantly impacting the way data and metadata are documented, managed, and shared throughout the research data lifecycle. By enabling structured, standardized, and consistent metadata collection from the start of data generation, ELNs notably improve metadata quality. Their digital nature not only facilitates...

37. Lessons Learned: RDM Tools in CRC 1430

9/30/25, 2:15 PM

Research data management (RDM) in the scope of collaborative research centers (CRC) faces a very specific set of challenges. CRCs usually comprise researchers from different disciplines leading to very heterogeneous requirements with regard to RDM tools, storage capacity and data types involved. This is especially true for consortia in the field of biomedical research which include a plethora...

29. LLM-Assisted Variable Annotation using the I-ADOPT Framework

9/30/25, 2:15 PM

Effective data stewardship in research hinges upon the consistent and FAIR (Findable, Accessible, Interoperable, Reusable) representation of scientific variables across diverse environmental disciplines. Within the Helmholtz Earth and Environment DataHub initiative, we are therefore developing an innovative approach utilizing Large Language Models (LLMs) to support data producers by automating...

30. MARIE’s Integrated Research Data Management Framework

9/30/25, 2:15 PM

25. Metadata by Design – Building Profiles for FAIR and Reusable Data

9/30/25, 2:15 PM

Creating well-structured metadata profiles is essential for enabling long-term access, understanding, and reuse of research data. However, many researchers struggle with deciding what information to include, how to structure it, and where to find standardized terminology. This poster offers practical guidance tailored to everyday researchers who aim to store their data in platforms like...

19. NFDI & Data Stewards: Working together for a sustainable research data management

9/30/25, 2:15 PM

The German National Research Data Infrastructure (NFDI) is a science-led network that aims to establish a sustainable, decentralised research data ecosystem in Germany. The objective is to provide reliable services, establish cross-disciplinary standards, secure access to high-quality research data and enable their reuse in accordance with the FAIR principles. 26 consortia from all research...

12. Putting FAIR principles into action - Euro-BioImaging’s FAIR Data Toolkit

9/30/25, 2:15 PM

In the rapidly evolving bioimaging landscape, adopting FAIR (Findable, Accessible, Interoperable and Reusable) principles is critical to maximising the value and impact of research data. Through a network of internationally renowned facilities, the European research infrastructure Euro-BioImaging provides open access to cutting-edge biological and biomedical imaging technologies and data...

23. RDM Compas – strengthening professional competencies in data curation

9/30/25, 2:15 PM

As Open Science and the FAIR data principles continue to reshape the research landscape, the roles of data stewards and data curators are gaining increasing importance. These professionals are essential for implementing sustainable data practices, ensuring long-term accessibility, and improving the quality of research data throughout their lifecycle. Within this context, Research Data Centers...

15. ReSeeD infrastructure: Advancing Data Stewardship and Sustainable Research Data Management in CRC 1280 “Extinction Learning” at Ruhr University Bochum

9/30/25, 2:15 PM

39. Self-Hosting Research Data Infrastructure with Kadi4Mat: A Practical Use Case for Managing Physics Data at IBPT, KIT

9/30/25, 2:15 PM

31. Solar Cell Research Data Digitization

9/30/25, 2:15 PM

While FAIR data is essential for the long-term sustainability of science, researchers need practical incentives to engage with data stewardship. At HZB, the data steward team has collaborated closely with solar cell research groups to implement efficient and comprehensive data management workflows. This initiative is built on a strong partnership between data stewards and scientists, aiming to...

36. Strengthening Research Data Management in Sport Science: A Community-Based Approach to Guidelines, Practices, and Challenges

9/30/25, 2:15 PM

In response to the growing importance of research data management (RDM) across scientific disciplines, the German Society of Sport Science (dvs) established an ad hoc committee on Research Data Management in October 2022. The committee’s primary objective is to develop community-specific RDM guidelines that support sustainable, transparent, and open research practices within the diverse field...