Speakers
Description
Research data management requirements differ substantially across disciplines, shaped by the type, scale, sensitivity, and lifecycle of the data produced. This session, part of the University of Bonn workshop on research data management and data science, brings together the University’s Clusters of Excellence to provide a practice-oriented overview of how data management is addressed in different research environments. The University of Bonn currently hosts eight Clusters of Excellence spanning a broad range of domains, including mathematics, economics, immunology, quantum physics, agricultural technology, astrophysics, and the humanities, offering a uniquely diverse perspective on research data practice.
The session will highlight the kinds of data collected across the clusters, the specific challenges arising from these data, and the strategies, infrastructures, and support structures used to manage them. Topics will include data acquisition, storage, documentation, standardization, sharing, reproducibility, governance, and long-term stewardship, as well as the human and technical resources required to support these processes. By focusing on concrete practices rather than abstract principles alone, the session aims to foster exchange between disciplines identify common needs and discipline-specific solutions, and stimulate discussion on how research data management can be strengthened across the University of Bonn.