Data Management for PalMod-II – A FAIR-Based Strategy for Data Handling in Large Climate Modeling Projects

Abstract

PalMod-II was a multi-institutional research project in Germany focusing on enabling and performing global numerical climate simulations with state-of-theart coupled Earth System Models spanning a full glacial cycle from 130 000 years in the past to the present and beyond. The main project goal was the dataset resulting from these simulations and making it available for reuse by the climate science community in-line with the FAIR data principles. In this paper, we present the research data management (RDM) approach developed and employed in PalMod-II to progress towards that project goal. The RDM approach was implemented by RDM professionals specifically funded by PalMod-II, which made it possible to provide RDM services tailored specifically to the project needs. The compilation and maintenance of a project-wide data management plan (DMP) has proven essential for keeping the project on track and serving as a central focal point of any data-related aspects. These include the specification of data responsible scientists, allocation of storage and computaional resources on a high-performance computing system, documentation of simulation output requirements, definition of data standardisation, and publication workflows in-line with the FAIR data principles. Since the RDM approach executed in PalMod-II was first-of-its-kind for all project partners, exhaustive communication at par with the scientists was required to create trust and a collaborative atmosphere within the project. Finally, the RDM approach implemented in PalMod-II facilitated the publication of a flagship dataset for global reuse, and will also be implemented in the follow-up project: PalMod-III.

Keywords

• research data management
• data management plan
• fair
• climate model data
• data standardization
• esgf