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Data Stewardship goes Germany 2025

September 30, 2025 to October 1, 2025
KIT Library
Europe/Berlin timezone

Data Stewardship goes Germany 2025

Contribution List

41 / 41
14. Building FAIR from the Ground: Unifying Data Stewardship Across Meteorological and Climate Research Institutes
Sabine Barthlott (KIT)
9/30/25, 1:10 PM

The Institutes of Meteorology and Climate Research (IMKs) at KIT operate a diverse range of instruments and models to investigate atmospheric and environmental processes. Historically, each working group has developed independent data management strategies, resulting in fragmented practices across the institutes. To address this challenge and ensure research data sustainability and FAIRness of...
16. GEOMAR’s data steward concept and a data steward’s view on day-to-day research data mangement activities
Dr Hela Mehrtens (GEOMAR), Klaus Getzlaff (GEOMAR)
9/30/25, 1:30 PM

Research data management comes more and more into the focus of daily scientific workflows. This is driven by the increasing demand and focus on data-driven science and open science policies. Here, data steward or data experts or data champions or data managers, which ever role title is used, they play a crucial role in the research data management processes to achieve the envisioned goals of...
48. Poster Pitches
9/30/25, 1:50 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...
27. Open Science in Action: Hands-On Spatial Data Training with Jupyter Notebooks
Stefano Della Chiesa (Leibniz Institute of Ecological Urban and Regional Development), Alexander Dunkel (Leibniz Institute of Ecological Urban and Regional Development), Claudia Dworczyk (Leibniz Institute of Ecological Urban and Regional Development), Ralf-Uwe Syrbe (Leibniz Institute of Ecological Urban and Regional Development)
9/30/25, 3:45 PM

The Jupyter ecosystem for data-driven research

The Jupyter ecosystem offers a powerful and intuitive approach to modern data-driven research. It seamlessly integrates explanatory narratives, executable code, and visualisations within a single, web-based interactive environment, lowering the barrier to engaging with complex data workflows (Kluyver et al., 2016). A centralised...
7. Facilitating Digitisation and Standardisation in Electrochemical Research through ELN Implementation and Template Development: A Use Case from a Data Steward Perspective
Annett Schröter (Friedrich-Schiller-Universität Jena)
9/30/25, 4:05 PM

The digitisation of laboratory workflows brings both opportunities and challenges, particularly in the area of standardised documentation and data management. In the field of electrochemical research, where precision and reproducibility are essential, the lack of standardisation of data documentation significantly affects the efficiency and reliability of research results. This presentation...
26. Empowering Educators and RDM Professionals: The GesundFDM Trainer Tandem Approach to Teaching Subject-specific Data Literacy
Katharina Koch (Hochschule Bochum), Ms Stephanie Werner (Hochschule Darmstadt), Prof. Eike Quilling (Hochschule Bochum)
9/30/25, 4:25 PM
51. How Many Data Stewards Do We Need? Let’s Talk Roles, Capacity, and Reality
Yasmin Demerdash (Institute of Molecular Biology gGmbH (IMB))
9/30/25, 4:45 PM

What does effective data stewardship look like in practice and how many stewards does it take? This interactive workshop invites participants to explore feasible role definitions, priorities, and team structures for data stewardship in research institutions of different sizes and capacities.
50. RADAR - Using AI for better, FAIR research data management
Felix Bach (FIZ Karlsruhe), Christian Bonatto Minella (FIZ Karlsruhe)
9/30/25, 4:45 PM

RADAR, the research data repository developed and operated by FIZ Karlsruhe, supports the secure archiving, publication and long-term availability of research data across disciplinary boundaries. Since going live in 2017, RADAR has been continuously developed to meet the increasing demands of Open Science.

The system offers comprehensive metadata support, persistent identifiers, semantic...
18. Data Stewards as a Service - NFDI-MatWerk
Mr Amirreza Moghaddam (RWTH Aachen University), Dr Georg Winkens (FZ Jülich), Dr Julia Mohrbacher (Albert-Ludwigs-Universität Freiburg), Mrs Katharina Grünwald (RWTH Aachen University)
10/1/25, 9:00 AM

In NFDI-MatWerk, there have been extensive efforts of integrating data stewards into the overall concept of the consortium in the past. This led to the development of a dedicated data stewardship concept [1] to capture the needs and assist to tackle them within the consortium. In the first steps of the consortium, this was necessary and has fulfilled its function.

Now we want to roll out...
44. From Workshops to Community – Advancing Data Stewardship in Germany
Ute Trautwein-Bruns (RWTH Aachen), Stefano Della Chiesa (Leibniz Institute of Ecological Urban and Regional Development), Jens Dierkes (Universität zu Köln), Daniela Hausen (Heinrich-Heine-Universität Düsseldorf), Stefan Kirsch (Thuringian Competence Network for Research Data Management (TKFDM)/ Ernst-Abbe-Hochschule UAS Jena), Hans März (EVH Bochum)
10/1/25, 9:20 AM
52. Data Stewards, let's work together: Shaping a living Community
Ute Trautwein-Bruns (RWTH Aachen), Stefano Della Chiesa (Leibniz Institute of Ecological Urban and Regional Development), Jens Dierkes (Universität zu Köln), Daniela Hausen (Heinrich-Heine-Universität Düsseldorf), Stefan Kirsch (Thuringian Competence Network for Research Data Management (TKFDM)/ Ernst-Abbe-Hochschule UAS Jena), Hans März (EVH Bochum)
10/1/25, 9:40 AM

Building on the outcomes of the Data Stewardship goes Germany (DSgG) workshops and the ongoing working group activities toward a sustainable and inclusive Data Stewardship Community in Germany, this workshop provides a space for reflection, exchange, and collaborative vision-building.

The Workshop will explore how a nationally recognised and globally connected data stewardship ecosystem can...
24. Building a Comprehensive Federated Network of RDM Helpdesks
Cord Wiljes (Nationale Forschungsdateninfrastruktur (NFDI) e.V.), Judith Engel (Universität Bremen), Lukas Weimer (Universität Göttingen), Marcus Schmidt (ZALF e.V.), Marina Lemaire (Universität Trier), Martha Stellmacher (SLUB Dresden), Ralph Müller-Pfefferkorn (TU Dresden)
10/1/25, 11:00 AM

RDM helpdesks are the primary point of contact for researchers with questions about research data management (RDM). In RDM helpdesks, data stewards provide support in various formats, ranging from a first-level-support hotline to long-term complex consultancy. Data stewards are working at a wide range of institutions: universities (including clusters of excellence and collaborative research...
53. Basisdienste in der NFDI: Nutzen für Forschende und Langzeitperspektive (streamed from FDM@Campus in Göttingen)
Melina Jander
10/1/25, 11:20 AM

In this session, we will introduce the initiative Base4NFDI which aims to build so-called basic services for the German scientific landscape (and beyond). You will get insights on why such an approach is useful and how sustainable solutions are discussed.
49. Poster Session
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