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

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

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-02-03
DOI
https://doi.org/10.5281/zenodo.14796887
Primary Topic
Research Data Management Practices
Type
article
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article

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

Zenodo (CERN European Organization for Nuclear Research)
Research Data Management Practices
article

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

article en

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

Zenodo (CERN European Organization for Nuclear Research)
Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung (DE), University of Bremen (DE), German Climate Computing Centre (DE), Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR) (DE), Leibniz Supercomputing Centre (DE), Technische Universität Dresden (DE)
Industry, innovation and infrastructure
Openalex Percentile: Top 40%
Research Data Management Practices
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