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首页> 外文期刊>Journal of Scientific & Industrial Research >India's Rank and Global Share in Scientific Research: How Data Sourced from Different Databases Can Produce Varying Outcomes?
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India's Rank and Global Share in Scientific Research: How Data Sourced from Different Databases Can Produce Varying Outcomes?

机译:印度在科学研究中的等级和全球份额:如何从不同的数据库中提供数据可以产生不同的结果?

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摘要

India is emerging as a major knowledge producer of the world in terms of proportionate share of global research output and the overall research productivity rank. Many recent reports, both of commissioned studies from Government of India as well as independent international agencies, show India at different ranks of global research productivity (variations as large as from 3~(rd) to 9~(th) place). The paper examines this contradiction; tries to analyse as to why different reports place India at different ranks and what may be the reasons thereof. The research output data for India, along with the ten most productive countries in the world, is analysed from three major scholarly databases- Web of Science, Scopus and Dimensions for this purpose. Results show that both, the endogenous factors (such as database coverage variation and different subject classification schemes) and the exogenous factors (such as subject selection and publication counting methodology) cause the variations in different reports. This paper focuses mainly on the first factor- variations due to use of data from different databases. The policy implications of the study are also discussed.
机译:在全球研究产出的比例份额和整体研究生产力等级中,印度是世界各大知识生产国。许多最近的报告,印度政府以及独立国际机构的委托研究,展示了印度在全球研究生产力的不同级别(从3〜(RD)到9〜(TH)的差异)。论文审查了这种矛盾;试图分析为什么不同的报告在不同的级别征地以及可能是其原因的原因。印度的研究产出数据以及世界上十大富有成效的国家,从三个主要的学术数据库,为此目的分析了科学,Scopus和尺寸的三个主要学术数据库。结果表明,内部源性因素(如数据库覆盖范围和不同的主题分类方案)和外源性因素(如对象选择和出版物计算方法)导致不同报告的变化。由于使用来自不同数据库的数据,本文主要侧重于第一个因素变化。还讨论了该研究的政策影响。

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