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Collaboration in the Time of COVID: A Scientometric Analysis of Multidisciplinary SARS-CoV-2 Research
arXiv - CS - Digital Libraries Pub Date : 2021-08-30 , DOI: arxiv-2108.13370
Eoghan Cunningham, Barry Smyth, Derek Greene

The novel coronavirus SARS-CoV-2 and the COVID-19 illness it causes have inspired unprecedented levels of multidisciplinary research in an effort to address a generational public health challenge. In this work we conduct a scientometric analysis of COVID-19 research, paying particular attention to the nature of collaboration that this pandemic has fostered among different disciplines. Increased multidisciplinary collaboration has been shown to produce greater scientific impact, albeit with higher co-ordination costs. As such, we consider a collection of over 166,000 COVID-19-related articles to assess the scale and diversity of collaboration in COVID-19 research, which we compare to non-COVID-19 controls before and during the pandemic. We show that COVID-19 research teams are not only significantly smaller than their non-COVID-19 counterparts, but they are also more diverse. Furthermore, we find that COVID-19 research has increased the multidisciplinarity of authors across most scientific fields of study, indicating that COVID-19 has helped to remove some of the barriers that usually exist between disparate disciplines. Finally, we highlight a number of interesting areas of multidisciplinary research during COVID-19, and propose methodologies for visualising the nature of multidisciplinary collaboration, which may have application beyond this pandemic.

中文翻译:

COVID 时代的合作:多学科 SARS-CoV-2 研究的科学计量分析

新型冠状病毒 SARS-CoV-2 及其引起的 COVID-19 疾病激发了前所未有的多学科研究水平,以应对代际公共卫生挑战。在这项工作中,我们对 COVID-19 研究进行了科学计量分析,特别关注这种流行病在不同学科之间促成的合作性质。增加的多学科合作已被证明会产生更大的科学影响,尽管协调成本更高。因此,我们考虑收集超过 166,000 篇与 COVID-19 相关的文章,以评估 COVID-19 研究中合作的规模和多样性,我们将其与大流行之前和期间的非 COVID-19 对照进行比较。我们表明,COVID-19 研究团队不仅比非 COVID-19 研究团队小得多,但它们也更加多样化。此外,我们发现 COVID-19 研究增加了大多数科学研究领域作者的多学科性,表明 COVID-19 有助于消除通常存在于不同学科之间的一些障碍。最后,我们重点介绍了 COVID-19 期间多学科研究的一些有趣领域,并提出了可视化多学科合作性质的方法,这些方法可能在此次大流行之外也有应用。
更新日期:2021-08-31
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