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Measuring and Visualizing Research Collaboration and Productivity

机译:衡量和可视化研究合作与生产力

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Purpose: This paper presents findings of a quasi-experimental assessment to gauge theresearch productivity and degree of interdisciplinarity of research center outputs. Of specialinterest, we share an enriched visualization of research co-authoring patterns.Design/methodology/approach: We compile publications by 45 researchers in each of 1) theiUTAH project, which we consider here to be analogous to a “research center,” 2) CG1— acomparison group of participants in two other Utah environmental research centers, and 3)CG2—a comparison group of Utah university environmental researchers not associated witha research center. We draw bibliometric data from Web of Science and from Google Scholar.We gather publications for a period before iUTAH had been established (2010–2012) and aperiod after (2014–2016). We compare these research outputs in terms of publications andcitations thereto. We also measure interdisciplinarity using Integration scoring and generatescience overlay maps to locate the research publications across disciplines.Findings: We find that participation in the iUTAH project appears to increase researchoutputs (publications in the After period) and increase research citation rates relative tothe comparison group researchers (although CG1 research remains most cited, as it was in theBefore period). Most notably, participation in iUTAH markedly increases co-authoring amongresearchers—in general; and for junior, as well as senior, faculty; for men and women: acrossorganizations; and across disciplines.Research limitations: The quasi-experimental design necessarily generates suggestive, notdefinitively causal, findings because of the imperfect controls.Practical implications: This study demonstrates a viable approach for research assessmentof a center or program for which random assignment of control groups is not possible. Itillustrates use of bibliometric indicators to inform R&D program management.Originality/value: New visualizations of researcher collaboration provide compellingcomparisons of the extent and nature of social networking among target cohorts.
机译:目的:本文提出了一项准实验评估的结果,以评估研究中心的研究生产率和跨学科程度。特别感兴趣的是,我们分享了研究合作模式的丰富可视化。设计/方法/方法:我们在1)theiUTAH项目中汇集了45位研究人员的出版物,在此我们将其视为类似于“研究中心” 2 )CG1 –犹他州其他两个环境研究中心的参与者的比较组,以及3)CG2 –犹他州大学环境研究人员的与研究中心无关的比较组。我们从Web of Science和Google Scholar中获取文献计量数据。我们收集了iUTAH成立之前(2010-2012年)和之后(2014-2016年)的一段时间的出版物。我们根据出版物和引文比较这些研究成果。我们还使用集成评分和生成科学覆盖图来衡量跨学科性,以找到跨学科的研究出版物。发现:我们发现,与比较组研究人员相比,参与iUTAH项目似乎增加了研究成果(后期的出版物)并提高了研究引用率(尽管CG1研究仍然像以前一样被引用最多)。最值得注意的是,一般而言,参与iUTAH的研究者之间的共同撰写显着增加。对于初级和高级教师;对于男人和女人:跨组织;研究局限性:由于控制不完善,准实验设计必定会产生暗示性的,非确定性的因果关系发现。实践意义:这项研究表明了对随机分配控制组的中心或项目进行研究评估的可行方法。不可能。它说明了使用文献计量指标来指导R&D计划管理。原创性/价值:研究人员协作的新可视化提供了令人信服的目标人群之间社交网络的程度和性质的比较。

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