科学资助有效性的多维文献计量评估

IF 3.5 2区 管理学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Tian-Yuan Huang , Wenjing Xiong
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引用次数: 0

摘要

科学资助通过使研究与社会需求保持一致来支持发现、创新和社会进步,但由于缺乏反事实、重叠的资助来源和不同的评估指标,其有效性难以评估。为了解决这个问题,我们开发了一个多维框架,包括研究影响、国际合作、开放获取状况、专题方向和跨学科性,并使用它来比较2011年至2020年间由美国国家科学基金会(NSF)和中国国家自然科学基金委员会(NSFC)资助的15个自然科学领域的出版物。我们的分析表明,国家自然科学基金的支持更有效地捕获了高被引的产出,而国家自然科学基金的资助更有效地识别了高影响力的工作,并更持续地促进了国际伙伴关系。这两位资助者推动了开放获取出版的大幅增长,尽管不断上涨的文章处理费威胁到了公平。在专题重点方面,国家自然科学基金主要支持热门研究领域,而国家自然科学基金则倾向于支持小众但有影响力的领域。最后,与2018年之前未获得资助的出版物相比,获得资助的出版物始终表现出更好的跨学科整合,这表明在获得资助的研究努力中,系统性倾向于综合异质学术领域,以提高创新产出。资助出版物在多样性和差异方面都优于非资助出版物,但在平衡方面则相反。这些发现表明,国家资助计划对研究动态产生异质效应,表明未来的政策应强制要求鼓励合作和开放获取,使专题组合多样化,并优先考虑真正的跨学科创新。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multidimensional bibliometric assessment of science funding effectiveness
Science funding supports discovery, innovation, and societal progress by enabling research aligned with social needs, but its effectiveness is hard to assess due to the lack of counterfactuals, overlapping funding sources, and varied evaluation metrics. To address this, we developed a multidimensional framework that encompasses research impact, international collaboration, open access status, thematic orientation, and interdisciplinarity, and used it to compare publications funded by the U.S. National Science Foundation (NSF) and the National Natural Science Foundation of China (NSFC) across fifteen natural science fields between 2011 and 2020. Our analysis shows that NSFC support more effectively captures highly cited outputs, whereas NSF funding is more efficient at identifying high impact work and more consistently promotes international partnerships. Both funders have driven substantial growth in open access publishing even though the rising article processing charges threaten equity. In terms of thematic focus, NSFC concentrates on popular research areas while NSF tends to support niche but influential fields. Finally, funded publications consistently demonstrate superior interdisciplinary integration compared to unfunded publications before 2018, indicative of a systemic inclination within financially backed research endeavors to synthesize heterogeneous academic domains for enhanced innovative output. Funded publications outperform unfunded publications both on dimensions of variety and disparity, yet reverses on balance. These findings demonstrate that national funding schemes exert heterogeneous effects on research dynamics, suggesting that future policy should mandate incentives for collaboration and open access, diversify thematic portfolios, and prioritize genuine interdisciplinary innovation.
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来源期刊
Journal of Informetrics
Journal of Informetrics Social Sciences-Library and Information Sciences
CiteScore
6.40
自引率
16.20%
发文量
95
期刊介绍: Journal of Informetrics (JOI) publishes rigorous high-quality research on quantitative aspects of information science. The main focus of the journal is on topics in bibliometrics, scientometrics, webometrics, patentometrics, altmetrics and research evaluation. Contributions studying informetric problems using methods from other quantitative fields, such as mathematics, statistics, computer science, economics and econometrics, and network science, are especially encouraged. JOI publishes both theoretical and empirical work. In general, case studies, for instance a bibliometric analysis focusing on a specific research field or a specific country, are not considered suitable for publication in JOI, unless they contain innovative methodological elements.
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