2nd MaRDI Workshop on Scientific Computing

With an ever growing body of scientific knowledge and an explosion of data generated by computer-based experiments, the Findability, Accessibility, Interoperability and Reusability of research data (FAIR principles) become key factors for further scientific progress. In Scientific Computing, beyond the actual simulation data the developed numerical algorithms, their implementations, procedural data, and their metadata descriptions are central research data and software. Establishing the FAIR principles for this data is the aim of the task area 'Scientific Computing' within the German Mathematical Research Data Initiative MaRDI.

With this second MaRDI Workshop on Scientific Computing, we want to bring together researchers from the Scientific Computing community and related disciplines, who are interested in the FAIRness of their research data. Apart from presentations on the current MaRDI projects and selected keynote talks, we will leave generous room for discussions. Further, we invite participants to contribute talks related to the following topics:

• Knowledge graphs and ontologies
• Research Software (Engineering/Interfaces/Management)
• Benchmarks
• Formal workflow descriptions
• Reproduction of numerical experiments
• Research data management

Participants are encouraged to present work in progress, open problems or report on personal experiences.

Invited Speakers:

• Dominik Goeddeke (University of Stuttgart)
• Dominique Thévenin (Otto von Guericke University Magdeburg)
• Miriam Schulte (University of Stuttgart)
  
• Manuel Baumann (Dassault Systèmes Deutschland GmbH)
  
• Garth Wells (University of Cambridge)
  
• Anne Reinarz (Durham University)
  
• Markus Reichstein / Fabian Gans (MPI for Biogeochemistry)
  

Organizers

Peter Benner, Jens Saak, Jan Heiland, Pavan Veluvali (MPI Magdeburg)

Hendrik Kleikamp, Stephan Rave, Mario Ohlberger, Frank Wübbeling (U Münster)