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.

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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
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article

Facilitating cloud-native data access and processing for Natural and Engineering Sciences

Serkan Girgin
Zenodo (CERN European Organization for Nuclear Research)
Scientific Computing and Data Management
article

Facilitating cloud-native data access and processing for Natural and Engineering Sciences

Serkan Girgin
article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
University of Twente (NL)
Openalex Percentile: Top 11%
Scientific Computing and Data Management
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