Data Understanding


In today's rapidly evolving digital landscape, data is the cornerstone of innovation, driving value across many industries. While its significance as a valuable asset is universally recognized as data continues to proliferate, organizations still struggle to harness its full potential.  This project aims to empower both individuals and organizations by enhancing their understanding of datasets, unlocking tangible benefits in the real-world.

In collaboration with Bayer AG, the project covers the complete data lifecycle - from generating metadata and fostering dataset understanding to final data transformation. The ultimate objective is to streamline data-driven decision-making by enhancing dataset understanding. This initiative falls under the scope of data-centric AI, emphasizing the significance of data not only as an input but a central entity to leverage the data's inherent value.


Bayer AG


07.2022 – 06.2025


Bayer AG

Involved DSI Researchers

Joshua Holstein


Conference Papers
Bridging Domain Expertise and AI through Data Understanding
Holstein, J.
2024. Companion Proceedings of the 29th International Conference on Intelligent User Interfaces, 163–165, Association for Computing Machinery (ACM). doi:10.1145/3640544.3645248
Understanding Data Understanding: A Framework to Navigate the Intricacies of Data Analytics
Holstein, J.; Spitzer, P.; Hoell, M.; Vössing, M.; Kühl, N.
2024. Proceedings of the 32nd European Conference on Information Systems (ECIS 2024), Association for Information Systems (AIS)
Journal Articles
Sanitizing data for analysis: Designing systems for data understanding
Holstein, J.; Schemmer, M.; Jakubik, J.; Vössing, M.; Satzger, G.
2023. Electronic Markets, 33 (1), Art.-Nr.: 52. doi:10.1007/s12525-023-00677-w
Conference Papers
On the Perception of Difficulty: Differences between Humans and AI
Spitzer, P.; Holstein, J.; Vössing, M.; Kühl, N.
2023. AutomationXP23: Intervening, Teaming, Delegating Creating Engaging Automation Experiences, doi:10.48550/arXiv.2304.09803