Our NFDI4DS Lecture Series continues with Lecture 12 on 27. January 2026 9:00 online.
Title: Supporting Research Data Management with generative AI - a modern FAIRytale?
Interdisciplinary projects pose significant challenges for research data management (RDM). Workflows for generating, processing, and analyzing FAIR data, as well as data formats and supporting infrastructures, are often highly heterogeneous. As a result, unaligned data silos frequently emerge, making data sharing between stakeholders difficult, if not impossible. Moreover, many RDM tasks are complex and are often perceived by researchers as additional, burdensome work. Generative AI offers considerable potential to support tasks in the RDM lifecycle. In turn, well curated and interoperable data can lead to better results when used for training or prompts. In this presentation, we draw on examples from multiple research projects and domains to explore how generative AI can help to address these challenges and support FAIR data practices.
Speaker: Sandra Geisler
Sandra Geisler is a junior professor for Data Stream Management and Analysis (DSMA) at the RWTH Aachen University since 2021. She is also co-head of the group Health Dataspaces and Interoperable Healthcare Services at the Fraunhofer Institute for Applied Information Technology FIT. Her research focuses on methods and architectures for distributed data stream management and analysis, knowledge-driven data ecosystems, data quality management, FAIR research data Management, and generative AI in Data Management. Currently, she is a principal investigator in the Excellence Cluster ”Internet of Production” and an associate editor of the journal Data and Knowledge Engineering (DKE).
Registration: Registration via https://events.hifis.net/event/3498/.