论文标题
欧洲开放科学云服务的调查,以扩大多学科科学应用的能力和能力
A survey of the European Open Science Cloud services for expanding the capacity and capabilities of multidisciplinary scientific applications
论文作者
论文摘要
开放科学是一个范式,在该范式中,科学数据,程序,工具和结果将透明地共享,并由整个社会重新使用。该计划被称为欧洲开放科学云(EOSC)在欧洲是一项努力,以提供开放,可信赖的,虚拟和联合的计算环境,以执行科学应用,并在边界和科学学科中存储,共享,共享和重复使用研究数据。此外,科学服务不仅在计算密集的任务方面,而且在存储资源方面都变得越来越大。高性能计算(HPC)和云计算等计算范式应用于电子科学应用程序以满足这些需求。但是,将应用和服务适应这些范式并不是一项琐碎的任务,通常需要深入了解基本技术,这通常构成了科学家一般而言其吸收的障碍。在这种情况下,EOSC-Synergy是一个合作项目Eosc-Synergy,涉及来自八个欧洲国家的20多个机构,汇集了他们的知识和经验,以增强EOSC的能力和能力,旨在使EOSC更接近科学社区。本文对Eosc-Synergy的十个主题服务中的改编进行了摘要分析,以接受这种范式。这些服务分为四类:地球观察,环境,生物医学和天体物理学。分析将导致确定共同点,最佳实践和共同要求,而不管服务的主题领域如何。从主题服务中获得的经验可以转移到新服务中,以采用EOSC生态系统框架。
Open Science is a paradigm in which scientific data, procedures, tools and results are shared transparently and reused by society as a whole. The initiative known as the European Open Science Cloud (EOSC) is an effort in Europe to provide an open, trusted, virtual and federated computing environment to execute scientific applications, and to store, share and re-use research data across borders and scientific disciplines. Additionally, scientific services are becoming increasingly data-intensive, not only in terms of computationally intensive tasks but also in terms of storage resources. Computing paradigms such as High Performance Computing (HPC) and Cloud Computing are applied to e-science applications to meet these demands. However, adapting applications and services to these paradigms is not a trivial task, commonly requiring a deep knowledge of the underlying technologies, which often constitutes a barrier for its uptake by scientists in general. In this context, EOSC-SYNERGY, a collaborative project involving more than 20 institutions from eight European countries pooling their knowledge and experience to enhance EOSC's capabilities and capacities, aims to bring EOSC closer to the scientific communities. This article provides a summary analysis of the adaptations made in the ten thematic services of EOSC-SYNERGY to embrace this paradigm. These services are grouped into four categories: Earth Observation, Environment, Biomedicine, and Astrophysics. The analysis will lead to the identification of commonalities, best practices and common requirements, regardless of the thematic area of the service. Experience gained from the thematic services could be transferred to new services for the adoption of the EOSC ecosystem framework.