Measuring success for a future vision: Defining impact in science gateways/virtual research environments

Measuring success for a future vision: Defining impact in science gateways/virtual research environments
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DOI:
10.1002/cpe.6099
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发表时间:
2020-12-02
影响因子:
2
通讯作者:
Gesing, Sandra
Gesing, Sandra
中科院分区:
计算机科学4区
文献类型:
--
作者:
Calyam, Prasad;Wilkins-Diehr, Nancy;Gesing, Sandra

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世界各地的学者利用科学网关/虚拟研究环境(VRE)进行跨越不同科学领域的各种研究和教育工作。评估一个特定的科学网关/虚拟可再生能源对其组成社区的价值,对于获得必要的财政和人力资源以维持业务和增加用户社区的采用至关重要。在本文中,我们介绍了各种典型的科学网关/VRE,并详细介绍了它们如何定义影响力,例如,它们的目的,操作原理和用户群的大小。此外,示范者认识到,他们的科学网关/虚拟现实将随着云计算平台、网络服务架构、数据管理工具和网络安全方面的技术进步和标准而不断发展。相应地,我们提出了一些可以纳入下一代科学网关/虚拟现实的技术进步,以提高其业务范围和规模,以获得更大的成功/影响。这些样本是从美国科学门户社区研究所(SGCI)客户中的科学门户所有者以及研究数据联盟国际虚拟研究环境兴趣小组(VRE-IG)中的VRE所有者中选出的。因此,社区驱动的最佳做法和技术进步是从具有国际视角的不同专家组汇编的,以设想未来的科学门户/虚拟可再生能源创新。
Scholars worldwide leverage science gateways/virtual research environments (VREs) for a wide variety of research and education endeavors spanning diverse scientific fields. Evaluating the value of a given science gateway/VRE to its constituent community is critical in obtaining the financial and human resources necessary to sustain operations and increase adoption in the user community. In this article, we feature a variety of exemplar science gateways/VREs and detail how they define impact in terms of, for example, their purpose, operation principles, and size of user base. Further, the exemplars recognize that their science gateways/VREs will continuously evolve with technological advancements and standards in cloud computing platforms, web service architectures, data management tools and cybersecurity. Correspondingly, we present a number of technology advances that could be incorporated in next-generation science gateways/VREs to enhance their scope and scale of their operations for greater success/impact. The exemplars are selected from owners of science gateways in the Science Gateways Community Institute (SGCI) clientele in the United States, and from the owners of VREs in the International Virtual Research Environment Interest Group (VRE-IG) of the Research Data Alliance. Thus, community-driven best practices and technology advances are compiled from diverse expert groups with an international perspective to envisage futuristic science gateway/VRE innovations.