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美国研究软件实践状况调查。

A survey of the state of the practice for research software in the United States.

作者信息

Carver Jeffrey C, Weber Nic, Ram Karthik, Gesing Sandra, Katz Daniel S

机构信息

Computer Science, University of Alabama, Tuscaloosa, AL, United States of America.

Information School, University of Washington, Seattle, WA, United States of America.

出版信息

PeerJ Comput Sci. 2022 May 5;8:e963. doi: 10.7717/peerj-cs.963. eCollection 2022.

DOI:10.7717/peerj-cs.963
PMID:35634111
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9138129/
Abstract

Research software is a critical component of contemporary scholarship. Yet, most research software is developed and managed in ways that are at odds with its long-term sustainability. This paper presents findings from a survey of 1,149 researchers, primarily from the United States, about sustainability challenges they face in developing and using research software. Some of our key findings include a repeated need for more opportunities and time for developers of research software to receive training. These training needs cross the software lifecycle and various types of tools. We also identified the recurring need for better models of funding research software and for providing credit to those who develop the software so they can advance in their careers. The results of this survey will help inform future infrastructure and service support for software developers and users, as well as national research policy aimed at increasing the sustainability of research software.

摘要

研究软件是当代学术研究的关键组成部分。然而,大多数研究软件的开发和管理方式与其长期可持续性相悖。本文展示了一项对1149名研究人员(主要来自美国)的调查结果,内容涉及他们在开发和使用研究软件时所面临的可持续性挑战。我们的一些主要发现包括,研究软件开发者反复需要更多机会和时间来接受培训。这些培训需求贯穿软件生命周期和各类工具。我们还发现,人们一直需要更好的研究软件资助模式,以及为软件开发者提供认可,以便他们能够在职业生涯中取得进步。这项调查结果将有助于为未来针对软件开发人员和用户的基础设施及服务支持,以及旨在提高研究软件可持续性的国家研究政策提供参考。

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本文引用的文献

1
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2
An environment for sustainable research software in Germany and beyond: current state, open challenges, and call for action.德国及其他地区可持续研究软件的环境:现状、开放挑战与行动呼吁。
F1000Res. 2020 Apr 27;9:295. doi: 10.12688/f1000research.23224.2. eCollection 2020.
3
Recognizing the value of software: a software citation guide.
研究软件资金的战略重点与挑战:一项国际调查的结果
F1000Res. 2025 Jan 6;13:1447. doi: 10.12688/f1000research.155879.2. eCollection 2024.
4
A case study in statistical software development for advanced evidence synthesis: the combined value of analysts and research software engineers.高级证据综合统计软件开发中的一个案例研究:分析师与研究软件工程师的综合价值
BMC Med Res Methodol. 2025 Jan 17;25(1):13. doi: 10.1186/s12874-024-02450-9.
5
A Perspective on Neuroscience Data Standardization with Neurodata Without Borders.神经数据无国界视角下的神经科学数据标准化。
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6
A perspective on neuroscience data standardization with Neurodata Without Borders.关于“无国界神经数据”(Neurodata Without Borders)的神经科学数据标准化的观点。
ArXiv. 2024 Jan 22:arXiv:2310.04317v2.
7
Open Science Drone Toolkit: Open source hardware and software for aerial data capture.开源科学无人机工具包:用于空中数据采集的开源硬件和软件。
PLoS One. 2023 Apr 6;18(4):e0284184. doi: 10.1371/journal.pone.0284184. eCollection 2023.
认识软件的价值:软件引文指南。
F1000Res. 2020 Oct 19;9:1257. doi: 10.12688/f1000research.26932.2. eCollection 2020.
4
Journal of Open Source Software (JOSS): design and first-year review.《开源软件期刊》(JOSS):设计与首年回顾
PeerJ Prepr. 2018;4:e147. doi: 10.7717/peerj-cs.147. Epub 2018 Feb 12.
5
1,500 scientists lift the lid on reproducibility.1500名科学家揭开了可重复性的盖子。
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6
Publishing: Credit where credit is due.发表:该归功于谁就归功于谁。
Nature. 2014 Apr 17;508(7496):312-3. doi: 10.1038/508312a.
7
Computational science. Troubling trends in scientific software use.计算科学。科学软件使用中的不良趋势。
Science. 2013 May 17;340(6134):814-5. doi: 10.1126/science.1231535.
8
Authorship: Who's on first?作者身份:谁是第一作者?
Nature. 2012 Sep 27;489(7417):591-3. doi: 10.1038/nj7417-591a.
9
2020 computing: a two-way street to science's future.2020年的计算:通往科学未来的双向道路。
Nature. 2006 Mar 23;440(7083):419. doi: 10.1038/440419a.
10
The order of authorship: who's on first?作者顺序:谁排第一?
JAMA. 1990 Oct 10;264(14):1857.