走向表明跨学科性:描述跨学科知识流

IF 2.8 2区 管理学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Hongyu Zhou, Raf Guns, Tim C. E. Engels
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引用次数: 0

摘要

这项研究有助于最近关于表明跨学科性的讨论,也就是说,超越了跨学科的包罗万象的指标。我们提出了一个上下文框架,以提高跨学科知识流(IKF)现有方法的粒度和可用性,在该方法中,科学学科从其他学科导入和导出知识。为了描述学科之间的知识交流,我们认识到在这个框架下IKF的三个方面,即广度、强度和同质性。我们展示了如何利用它们来揭示不同形式的跨学科性,特别是在IKF量最大的学科之间。我们将这一框架应用于两个用例,一个在学科层面,另一个在期刊层面,以展示它如何比聚合和上下文无关的指标更全面、更详细地看待科学实体的跨学科性。我们进一步将我们提出的框架(一个指示过程)与既定指标进行了比较,并讨论了这些跨学科信息工具如何帮助科学政策实践,如基于绩效的研究资助系统和基于小组的同行评审过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards indicating interdisciplinarity: Characterizing interdisciplinary knowledge flow

This study contributes to the recent discussions on indicating interdisciplinarity, that is, going beyond catch-all metrics of interdisciplinarity. We propose a contextual framework to improve the granularity and usability of the existing methodology for interdisciplinary knowledge flow (IKF) in which scientific disciplines import and export knowledge from/to other disciplines. To characterize the knowledge exchange between disciplines, we recognize three aspects of IKF under this framework, namely broadness, intensity, and homogeneity. We show how to utilize them to uncover different forms of interdisciplinarity, especially between disciplines with the largest volume of IKF. We apply this framework in two use cases, one at the level of disciplines and one at the level of journals, to show how it can offer a more holistic and detailed viewpoint on the interdisciplinarity of scientific entities than aggregated and context-unaware indicators. We further compare our proposed framework, an indicating process, with established indicators and discuss how such information tools on interdisciplinarity can assist science policy practices such as performance-based research funding systems and panel-based peer review processes.

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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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