CLOUD-NES demonstrates the benefits of cloud-native data processing in engineering and natural sciences, implying improved efficiency.
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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Serkan Girgin (2026) studied this question.
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