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Other literature type . 2025
License: CC BY
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ZENODO
Research . 2025
License: CC BY
Data sources: Datacite
ZENODO
Research . 2025
License: CC BY
Data sources: Datacite
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FAIR@HPC - Improving HPC usage in ESS by FAIR data and compute services (2024/25 update)

Authors: Eberle, Jonas; Frickenhaus, Stephan; Fritzsch, Bernadette; Hachinger, Stephan; Humbert, Angelika; Koldunov, Nikolay V.; Löwer, Noah; +3 Authors

FAIR@HPC - Improving HPC usage in ESS by FAIR data and compute services (2024/25 update)

Abstract

In our concept paper from May 2022 (cf. related identifiers), we addressed the continuously increasing demand for using High-Performance-Computing (HPC) infrastructure in the Earth System Sciences (ESS), and the challenges arising from this for the National Research Data Infrastructure (NFDI). From a description of typical use cases, we derived challenges in FAIR (Findable, Accessible, Interoperable, Reusable) Research Data Management (RDM) and computational workflow/data-flow management, as a motivation for driving developments of the NFDI Consortium Earth System Sciences (NFDI4Earth) on the HPC-centric side. We issued recommendations that relate to these possible developments, and scheduled a recommendation status review after 12-24 months. This addendum discusses current and future topics with increasing significance for RDM in HPC in the ESS – together with a set of new recommendations related to these topics. It then reviews the fulfilment status of our previous recommendations and lays out necessary adjustments. This addendum extends the original concept paper of 2022: https://doi.org/10.5281/zenodo.6565405

This work has been funded by the German Research Foundation (DFG) through the project NFDI4Earth (IG HPC, DFG project no. 460036893, https://www.nfdi4earth.de/) within the German National Research Data Infrastructure (NFDI, https://www.nfdi.de/).

Keywords

NFDI, NFDI4Earth, Earth System Sciences, High Performance Computing (HPC), NFDI4Earth Interest Group, FAIR

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average