Björn Schembera

Björn Schembera is a Researcher at the Institute of Applied Analysis and Numerical Simulation (IANS) at the University of Stuttgart, focusing on Research Data Management (RDM), metadata standards, and ontologies. He holds a Dr.-Ing. (Engineering Doctorate) and a Diplom-Informatik (Computer Science) degree, with interdisciplinary training in philosophy. His current work centers on FAIR principles, knowledge graphs, and dark data in computational and mathematical sciences, particularly within the MaRDI (Mathematical Research Data Initiative) project under NFDI funding.

Education and Professional Background: After completing his doctoral studies on dark data in simulations at HLRS (2011–2022), he joined IANS in 2022. His research bridges technical RDM challenges with societal implications of information technology.

Research Interests: Schembera’s work emphasizes metadata models (e.g., EngMeta), ontology development for mathematics and engineering, and ethical aspects of data stewardship. He contributes to projects like bwDataArchive and NFDI4Cat, addressing interoperability and standardization in research data infrastructures.

Teaching: He leads the course 'Schlüsselqualifikation Forschungsdatenmanagement' since 2023/24, promoting open science and RDM practices.

Key Achievements: His 2023 Best Paper Award (MTSR Conference) recognizes contributions to metadata and semantic research. Over 50 publications span journals like Energies, IEEE Transactions, and conference proceedings on metadata, ontologies, and simulation workflows.

Projects: He collaborates on MaRDI (mathematical data infrastructure), NFDI4Cat (catalysis sciences), and bwDataArchive (long-term storage).