Building on Communities to Further Software Sustainability

IF 1.8 4区 计算机科学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computing in Science & Engineering Pub Date : 2023-05-01 DOI:10.1109/mcse.2023.3318749
Anne Fouilloux, Jean Iaquinta, Alok Kumar Gupta, Hamish Struthers, Oskar Landgren, Prashanth Dwarakanath, Tommi Bergman, Yanchun He
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Abstract

The Nordic e-Infrastructure Collaboration on Earth System Modeling Tools is a small community comprising members with diverse backgrounds, skills, and interests. Largely dependent on temporary staff to develop, operate, and maintain large scientific codes, this community devised strategies to enhance software reusability and sustainability. These strategies include collaborating with other communities for support, adopting Open Science as well as findable, accessible, interoperable, and reusable principles to optimize resource usage, growing essential knowledge within the community, and setting up a community of practice to facilitate onboarding and offboarding. The strategies also promote inclusiveness, foster external collaboration, and recognize technical contributions.
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以社区为基础,进一步提高软件的可持续性
地球系统建模工具北欧电子基础设施协作是一个由不同背景、技能和兴趣的成员组成的小社区。很大程度上依赖于临时人员来开发、操作和维护大型科学代码,这个社区设计了策略来增强软件的可重用性和可持续性。这些策略包括与其他社区合作以获得支持,采用开放科学以及可查找、可访问、可互操作和可重用的原则来优化资源使用,在社区内增长基本知识,并建立一个实践社区以促进入职和离职。这些战略还促进包容性,促进外部合作,并承认技术贡献。
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来源期刊
Computing in Science & Engineering
Computing in Science & Engineering 工程技术-计算机:跨学科应用
CiteScore
4.20
自引率
0.00%
发文量
77
审稿时长
6-12 weeks
期刊介绍: Physics, medicine, astronomy -- these and other hard sciences share a common need for efficient algorithms, system software, and computer architecture to address large computational problems. And yet, useful advances in computational techniques that could benefit many researchers are rarely shared. To meet that need, Computing in Science & Engineering presents scientific and computational contributions in a clear and accessible format. The computational and data-centric problems faced by scientists and engineers transcend disciplines. There is a need to share knowledge of algorithms, software, and architectures, and to transmit lessons-learned to a broad scientific audience. CiSE is a cross-disciplinary, international publication that meets this need by presenting contributions of high interest and educational value from a variety of fields, including—but not limited to—physics, biology, chemistry, and astronomy. CiSE emphasizes innovative applications in advanced computing, simulation, and analytics, among other cutting-edge techniques. CiSE publishes peer-reviewed research articles, and also runs departments spanning news and analyses, topical reviews, tutorials, case studies, and more.
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