A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf
.
FAIR@HPC – Improving HPC usage in ESS by FAIR data and compute services
2022
Zenodo
There is a continuously increasing demand for using High-Performance-Computing (HPC) infrastructure for solving geoscientific questions in different domains. Fostering the "FAIRness" (referring to the FAIR principles of Wilkinson et al. 2016 - "Findable, Accessible, Interoperable, Reusable") of the data generated in HPC calculations is therefore a necessity; however, the sheer size of such data poses a big challenge. In particular, approaches to FAIR data and computing which do not require the
doi:10.5281/zenodo.6565404
fatcat:r7rytjzbhbe5fmbfuhhnioenqa