# A survey of the European Open Science Cloud services for expanding the capacity and capabilities of multidisciplinary scientific applications

**Authors:** Amanda Calatrava, Hernán Asorey, Jan Astalos, Alberto Azevedo, Francesco Benincasa, Ignacio Blanquer, Martin Bobak, Francisco Brasileiro, Laia Codó, Laura del Cano, Borja Esteban, Meritxell Ferret, Josef Handl, Tobias Kerzenmacher, Valentin Kozlov, Aleš Křenek, Ricardo Martins, Manuel Pavesio, Antonio Juan Rubio-Montero, Juan Sánchez-Ferrero  
**arXiv:** [2211.07738](https://arxiv.org/abs/2211.07738)  
**Date:** 2022-11-14  
**Summary page:** https://www.summarizepaper.com/en/paper/2211.07738v1/

## Key points

- Open Science promotes transparent sharing and reuse of scientific data, procedures, tools, and results
- The European Open Science Cloud (EOSC) aims to establish an open and trusted virtual computing environment for executing scientific applications and facilitating the storage, sharing, and reuse of research data across borders and disciplines
- High Performance Computing (HPC) and Cloud Computing are being applied to meet the increasing demands of data-intensive scientific services
- Adapting applications to these paradigms can be challenging and acts as a barrier for scientists
- EOSC-SYNERGY project brings together institutions from eight European countries to enhance the capabilities and accessibility of EOSC
- Ten thematic services within EOSC-SYNERGY are categorized into Earth Observation, Environment, Biomedicine, and Astrophysics
- Analysis of these services aims to identify commonalities, best practices, and requirements across thematic areas
- Valuable experience gained from thematic services can be transferred to new services for wider adoption within the EOSC ecosystem framework
- Open Science principles are being implemented through initiatives like EOSC-SYNERGY in Europe
- Collaboration among institutions across disciplines is crucial for enhancing EOSC's capabilities and bringing it closer to scientific communities.

## Summary

Open Science is a paradigm that promotes the transparent sharing and reuse of scientific data, procedures, tools, and results by society as a whole. In Europe, the European Open Science Cloud (EOSC) initiative aims to establish an open and trusted virtual computing environment for executing scientific applications and facilitating the storage, sharing, and reuse of research data across borders and disciplines. As scientific services become increasingly data-intensive in terms of computational tasks and storage resources, technologies such as High Performance Computing (HPC) and Cloud Computing are being applied to meet these demands. However, adapting applications and services to these paradigms can be challenging, requiring deep knowledge of underlying technologies. This often acts as a barrier for scientists who want to adopt these technologies. To address this issue, the collaborative project EOSC-SYNERGY brings together more than 20 institutions from eight European countries to enhance the capabilities and capacities of EOSC and make it more accessible to scientific communities. This article presents a summary analysis of the adaptations made in ten thematic services within EOSC-SYNERGY. These services are categorized into Earth Observation, Environment, Biomedicine, and Astrophysics. The analysis aims to identify commonalities, best practices, and requirements across these thematic areas. By understanding these commonalities, valuable experience gained from the thematic services can be transferred to new services for wider adoption within the EOSC ecosystem framework. Overall,this expanded summary highlights how Open Science principles are being implemented through initiatives like EOSC-SYNERGY in Europe.It emphasizes the importance of adapting scientific applications to data-intensive computing paradigms while addressing barriers that hinder their uptake by scientists.Through collaborationand knowledge-sharing among institutions across different disciplines,EOSC-SYNERGY aims to enhance EOSC's capabilitiesand bring it closer to scientific communities for improved research outcomes.