Post 1

Marcel Nellesen

RWTH Aachen University, IT Center
CSG Data Management

Scientific Staff


RWTH Aachen
IT Center
Seffenter Weg 23
52074 Aachen


Marcel holds a Bachelor degree in Scientific Programing from the FH Aachen, Germany, and a Master degree in Computer Science from the RWTH Aachen University, Germany.

From 2019, he works in the department for Research Process & Data Management of the IT Center of the RWTH Aachen University, Germany, as a scientific employee with a focus on research data management. He worked on the Collaborative Scientific Integration Environ-ment (Coscine) a Research Data Management Platform developed at the RWTH Aachen Uni-versity. Currently he is developing JARDS (Joint Application, Review, and Dispatch Service), a platform for the creation and the scientific review of applications for computation time in NHR.

In 2021 Marcel joined the Crosssectional Group Data Management at the National High Per-formance Computing Center for Computational Engineering Science (NHR4CES).

Since 2022, Marcel leads the Group Research Data Processes for High Performance Compu-ting Systems at RWTH Aachen University, Germany.

Thematic Advice

The amount of research data is growing rapidly; large-scale research projects generate huge amounts of data. However, without proper data management knowledge about the data is quickly lost and other researchers cannot utilize the data; this means results cannot be re-produced and the data cannot be reused in a different context.

Marcel can help with making research data FAIR, this means Findable, Accessible, Interoper-able and Reusable, especially when considering the specific challenges of a high perfor-mance computing environment.

Professional Competence

Marcel focusses on Research Data Management in the context of High Performance Compu-ting. He is in active exchange with other NHR centers and different NFDIs to exchange and improve knowledge on Research Data Management especially with regard to metadata man-agement and the challenges that arise in high performance computing.