A Data Space for Climate Science in the European Open Science Cloud

Abstract

The growing amount of available data in many scientific fields is calling for a radical change in the approach for managing and analyzing these data. The data space concept, a digital ecosystem supporting scientific communities towards a more sustainable and FAIR use of data, has emerged in the last years to address some of the key challenges. This paper presents a domain-specific implementation of the data space concept targeting the needs of climate scientists: the ENES Data Space. Such science gateway has been devised in the context of the European Open Science Cloud to provide climate users with datasets, tools, and services integrated into a single environment for the development of data science applications. The main motivations behind this data space and its architecture are presented in this work, together with an example of scientific application that can be run by users.

PyOphidia: A Python library for High Performance Data Analytics at scale

“…Other than being used by scientists on a daily basis, the module has also been exploited in several applications developed in the context of international and European projects. In particular, the module is currently used in the European projects eFlows4HPC [33], interTwin 10 and ESiWACE Center of Excellence, 11 and it is one of the key components of the Data Space science gateway for the European Network for Earth System Modelling (ENES) community [34].…”