Facilitating cloud-native data access and processing for Natural and Engineering Sciences
CLOUD-NES aims to stimulate the use of cloud-native methods to publish, access, and process research data efficiently by building a prototype open cloud-native data repository, transforming selected datasets in traditional formats into cloud-native ones, demonstrating the benefits of cloud-native approaches with reliable and reproducible benchmarks in comparison to traditional methods, developing open training material and providing tailored training to the researchers to improve their skills in using cloud-native methods, and sharing the experience and lessons learned with relevant (inter)national stakeholders.
Authors
- Serkan Girgin (ORCID: https://orcid.org/0000-0002-0156-185X)
Institutions
- University of Twente (NL)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-04-01
- DOI
- https://doi.org/10.5281/zenodo.19555351
- Primary Topic
- Scientific Computing and Data Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00