28.–30. Apr. 2026
DKFZ, Heidelberg
Europe/Berlin Zeitzone

Handle and Share Information on Numerical Earth-system Simulations to Improve their FAIRness

P23
Nicht eingeplant
3m
Communication Center (DKFZ, Heidelberg)

Communication Center

DKFZ, Heidelberg

Im Neuenheimer Feld 280 69120 Heidelberg, germany
Poster 8. From Harmonisation to Action(ability) POSTERS & DEMOS - with Coffee

Sprecher

Dr. Klaus Getzlaff (GEOMAR Helmholtz Centre for Ocean Research Kiel)

Beschreibung

Numerical earth-system simulations are often documented and shared on a personal level while details on simulations are rarely easily findable, even within institutions or departments. This is a hurdle for possible collaboration and re-use, especially for non experts and people from other research fields. The publicly available documentation of simulations, if any, is mostly part of a scientific article or report, often with a lack on specific details and information. On the other hand, the common approach for a documentation of numerical simulations by throwing everything into a git repository has it’s weakness too. It completely depends on the creator or curator of the repository to ensure, everything is in place to reproduce or at least repeat the simulation.
In order to easily share numerical earth-system simulations in a reliable way and in compliance with the FAIR principles, we propose a schematic approach, called SimShare. The foundation of SimShare is a standardised, machine readable metadata file which describes the most essential characteristics including references via persistent identifier (PID) for code, modules and input files. The SimShare file can easily be integrated into your institutional metadata repository to improve findability and simple access to the simulation details which in turn could increase the visibility to foster cooperation and re-use.

Here we will describe our institutional workflow to handle and share information on numerical simulations. We will introduce the proposed metadata standard (SimShare) and how we integrate it in the institutional metadata platform.

Alternative Track 7. Human-Machine Collaboration in (Meta)data Acquisition

Autoren

Dr. Klaus Getzlaff (GEOMAR Helmholtz Centre for Ocean Research Kiel) Dr. Markus Scheinert (GEOMAR)

Präsentationsmaterialien

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