arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2607.00546astro-ph.IMphysics.soc-ph
收藏

天体物理学中的开放科学:开放代码、开放数据和开放获取的引用优势

Open Science in Astrophysics: Citation Benefits of Open Code, Open Data, and Open Access

Carnegie Mellon University(卡内基梅隆大学)

Parth Joshi, Rupert Croft

AI总结:

基于5.3万篇论文,通过多元回归分析发现开放数据、开放获取和开放代码分别带来32%、26%和16%的引用优势,且在不同子领域表现各异。

摘要:

我们使用来自NASA天体物理数据系统(ADS)的53,194篇同行评审论文样本(发表于2021年1月至2025年4月),分析了天体物理学中数据、代码和论文文本的开放可获取性之间的关系。我们测量了十一个量:文本的开放可获取性、开放代码状态、开放数据状态、获得的资助数量、代码规模、编程语言、数据存储库大小、引用次数、作者数量、论文长度和发表日期。我们根据关键词将引用优势分解为六个天体物理子领域:太阳系、行星、恒星、星际介质、高能和星系+宇宙学。通过调整多元最小二乘回归模型,结合偏相关和非参数检验,隔离了每个开放方面的贡献。在控制上述量后,我们发现所有三种开放形式都与显著的引用优势相关:开放数据(+32%,p < 10^-24)、开放获取(+26%,p < 10^-67)和开放代码(+16%,p = 0.003)。开放数据的引用优势在所有六个子领域中都存在,尤其是在星系+宇宙学和星际介质中,这两个领域共享模拟输出和观测数据产品的文化最为强烈。开放代码和开放数据的共享率在星系+宇宙学和高能天体物理学中最高(分别约为0.9%和2.9%),反映了它们更发达的社区数据基础设施;而在太阳系和星际介质中最低,因为这些领域的数据分布在本研究未考虑的平台。我们的发现支持了长期以来的观点,即公共访问为作者带来了具体的个人激励,即引用优势。

英文摘要:

We analyze the relationship between open-accessibility in data, code, and paper text in astrophysics using a sample of 53,194 peer reviewed papers published between January 2021 and April 2025, drawn from NASA's Astrophysics Data System (ADS). We measure eleven quantities: open accessibility of text, open-code status, open-data status, number of grants received, code size, programming language, data repository size, citation count, number of authors, paper length, and publication date. We break down citation advantages based on six astrophysical sub-fields: Solar System, Planet, Stellar, ISM, High Energy, and Galaxies+Cosmology, determined by keywords. This is accomplished by tuning a multivariate least-squares regression model with alongside partial correlations and non-parametric tests to isolate the contribution of each facet of openness. After controlling for the aforementioned quantities, we find significant citation advantages associated with all three forms of openness: open data (+32%, p < 10^-24), open access (+26%, p < 10^-67), and open code (+16%, p = 0.003). The open-data citation advantage is present in all six sub-fields, and especially in Galaxies+Cosmology and ISM, which have the strongest cultures of sharing simulation outputs and observational data products. Open-code and open-data sharing rates are highest in Galaxies+Cosmology and HEA (~0.9% and ~2.9%), reflecting their more developed community data infrastructure, and lowest in Solar System and ISM, where data is distributed on platforms not taken into account by this study. Our findings support the long held notion that public access comes with concrete personal incentives for authors in terms of citations.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑