Dr. Karsten Peters-von Gehlen

Department:

Data Management

Responsibility:

Group Leader "Workflows"

Room:

104

Phone:

+49 40 460094 - 138

E-Mail:

cGV0ZXJzQGRrcnouZGU=

Address:

Bundesstraße 45a, 20146 Hamburg, Germany

Work Area

Communication, mediation and integration of DKRZ research data management services for the Earth System Science Community
Development of DKRZ's portfolio of research data management services according to scientific-community demands
- Data handling concepts for very high (km-scale) resolution coupled Earth System Models
- FAIR Digital Objects (FDOs)
- Reproducibility/Traceability of scientific analyses in data-intensive Earth System Science

Design and execution of courses/workshops

Projects

I am involved in several EU- and BMBF-funded projects. In these projects, my contributions are focus on data management aspects, such as compiling a Data Management Plan (DMP) or contributing to infrastructural developments enabling efficient analysis of upcoming very high-resolution Earth System Model simulations:

WarmWorld (Task Lead in module "Easier")
ESiWACE3 (Work package lead "Tackling the Data Challenge")

Background

Meteorology and climate science:

Diploma of Meteorology (equivalent to MSc, University of Hamburg), 2008
PhD in Meteorology (University of Hamburg, Max Planck Institute for Meteorology), 2011
Post-Doc in Meteorology (Monash University, Melbourne and Max Planck Institut for Meteorology), 2012-2018

Publications in the field of Data Management (Selection)

Wilkinson, S.R., ... , Peters-von Gehlen, K., ... , et al.: Applying the FAIR Principles to computational workflows. Sci Data, 12, 328, https://doi.org/10.1038/s41597-025-04451-9, 2025.
Anders, I., Peters-von Gehlen, K., Bergemann, M. and Thiemann, H.: Facing the Challenges in simulation-based Earth System Sciences and the Role of FAIR Digital Objects, Rio, pp. 212-225, https://doi.org/10.3897/rio.8.e95817, 2022.
Peters-von Gehlen, K., Höck, H., Fast, A., Heydebreck, D., Lammert, A. and Thiemann, H. (2022). Recommendations for Discipline-Specific FAIRness Evaluation Derived from Applying an Ensemble of Evaluation Tools. Data Science Journal, 21: 7, pp. 1–21. doi:10.5334/dsj-2022-007
Anders, I., Peters-von Gehlen, K. and Thiemann, H. (2022). Canonical Workflows in Simulation-based Climate Sciences. Data Intelligence. doi:10.1162/dint_a_00127
Wittenburg, Peter, ..., Peters-von Gehlen, Karsten, … Wieder, Philipp. (2022). FAIR Digital Object Demonstrators 2021 (final). Zenodo. https://doi.org/10.5281/zenodo.5872645
Peer, L., Arguillas, F., Honeyman, T., Miljković, N., Peters-von Gehlen, K. and CURE-FAIR subgroup 3 (2021). Challenges of Curating for Reproducible and FAIR Research Output (Version 2.1). Zenodo doi:10.15497/RDA00063