单学科合作比多学科合作对科学的干扰更大

IF 2.8 2区 管理学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Xin Liu, Yi Bu, Ming Li, Jiang Li
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引用次数: 0

摘要

跨学科合作是解决复杂问题和作出创新贡献的科学合作的关键形式。本研究的重点是通过出版物的合著性来衡量多学科合作与通过中断(D)指数来衡量出版物的中断之间的关系。我们使用作者的隶属关系作为他们所属学科的代理,并将文章分类为多学科合作或单学科合作。D指数量化了一项研究对其前身的颠覆程度。我们从Microsoft Academic Graph (MAG)数据库中选取了6个学科的13种期刊,构建了固定效应的回归模型,并估计了变量之间的关系。研究结果表明,单学科合作的文章比多学科合作的文章更具破坏性。此外,我们通过研究样本出版物的参考文献,揭示了单学科合作如何比多学科合作更严重地破坏科学的机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Monodisciplinary collaboration disrupts science more than multidisciplinary collaboration

Collaboration across disciplines is a critical form of scientific collaboration to solve complex problems and make innovative contributions. This study focuses on the association between multidisciplinary collaboration measured by coauthorship in publications and the disruption of publications measured by the Disruption (D) index. We used authors' affiliations as a proxy of the disciplines to which they belong and categorized an article into multidisciplinary collaboration or monodisciplinary collaboration. The D index quantifies the extent to which a study disrupts its predecessors. We selected 13 journals that publish articles in six disciplines from the Microsoft Academic Graph (MAG) database and then constructed regression models with fixed effects and estimated the relationship between the variables. The findings show that articles with monodisciplinary collaboration are more disruptive than those with multidisciplinary collaboration. Furthermore, we uncovered the mechanism of how monodisciplinary collaboration disrupts science more than multidisciplinary collaboration by exploring the references of the sampled publications.

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来源期刊
CiteScore
8.30
自引率
8.60%
发文量
115
期刊介绍: The Journal of the Association for Information Science and Technology (JASIST) is a leading international forum for peer-reviewed research in information science. For more than half a century, JASIST has provided intellectual leadership by publishing original research that focuses on the production, discovery, recording, storage, representation, retrieval, presentation, manipulation, dissemination, use, and evaluation of information and on the tools and techniques associated with these processes. The Journal welcomes rigorous work of an empirical, experimental, ethnographic, conceptual, historical, socio-technical, policy-analytic, or critical-theoretical nature. JASIST also commissions in-depth review articles (“Advances in Information Science”) and reviews of print and other media.
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