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Diversity of individual research disciplines in scientific funding

Published on May 1, 2015in Scientometrics2.77
· DOI :10.1007/s11192-015-1549-y
Jiang Wu5
Estimated H-index: 5
(CAS: Chinese Academy of Sciences),
Miao Jin1
Estimated H-index: 1
(WHU: Wuhan University),
Xiu-Hao Ding2
Estimated H-index: 2
(HUST: Huazhong University of Science and Technology)
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Abstract
Given the development in modern science and technology, scientists need interdisciplinary knowledge and collaborations. In the National Natural Science Foundation of China (NSFC), more than 59 % of individuals change their disciplinary application codes to pursue interdisciplinary applications for scientific funding. An algorithm that classifies interdisciplinary applications and calculates the diversity of individual research disciplines (DIRD) is proposed based on three-level disciplinary application codes. Using a sample of 37,330 unique individuals at the NSFC from 2000 to 2013, this research analyzed the DIRD of all sponsored individuals and found that DIRDs differ significantly among scientific departments, research areas, and universities. Sponsored individuals prefer not to engage in cross-research-fields or interdisciplinary applications. In addition, top-class universities in China exhibit stronger ability to carry out interdisciplinary research than do other universities. This thorough investigation of interdisciplinary applications in a scientific foundation provides new insights in managing scientific funding.
  • References (23)
  • Citations (5)
Cite
References23
Newest
Yu Xie40
Estimated H-index: 40
(UM: University of Michigan),
Chunni Zhang5
Estimated H-index: 5
(PKU: Peking University),
Qing Lai5
Estimated H-index: 5
(UM: University of Michigan)
In the past three decades, China has become a major contributor to science and technology. China now employs an increasingly large labor force of scientists and engineers at relatively high earnings and produces more science and engineering degrees than the United States at all levels, particularly bachelor’s. China’s research and development expenditure has been rising. Research output in China has been sharply increasing since 2002, making China the second largest producer of scientific papers...
Published on May 23, 2014in Science41.04
Yu Xie40
Estimated H-index: 40
Inequalities in scientists’ contributions to science and their rewards have always been very high. There are good reasons to propose that inequalities in science across research institutions and across individual scientists have increased in recent years. In the meantime, however, globalization and internet technology have narrowed inequalities in science across nations and facilitated the expansion of science and rapid production of scientific discoveries through international collaborative net...
Published on May 23, 2014in Science41.04
Yu Xie40
Estimated H-index: 40
(PKU: Peking University)
In recent years, academic scholarship and public discourse have become increasingly preoccupied with social and economic inequality, which has risen in many countries. It is surprising that more attention has not been paid to the large, changing inequalities in the world of scientific research. I suggest that although the basic structure of inequalities in science has remained unchanged, their intensities and mechanisms may have been altered by recent forces of globalization and internet technol...
Published on Sep 1, 2013in Scientometrics2.77
Jiang Wu5
Estimated H-index: 5
(WHU: Wuhan University),
Xiu-Hao Ding2
Estimated H-index: 2
(HUST: Huazhong University of Science and Technology)
Scientists generally do scientific collaborations with one another and sometimes change their affiliations, which leads to scientific mobility. This paper proposes a recursive reinforced name disambiguation method that integrates both coauthorship and affiliation information, especially in cases of scientific collaboration and mobility. The proposed method is evaluated using the dataset from the Thomson Reuters Scientific "Web of Science". The probability of recall and precision of the algorithm...
Published on Aug 2, 2013in Science41.04
Cong Cao14
Estimated H-index: 14
(DUT: Dalian University of Technology),
Ning Li4
Estimated H-index: 4
(CAS: Chinese Academy of Sciences)
+ 1 AuthorsLi Liu1
Estimated H-index: 1
(THU: Tsinghua University)
There is growing anxiety among Chinese political and scientific leaders that, despite more money, better-trained talent, and sophisticated equipment, the domestic innovation system is still underperforming ( 1 ). Chinese scientists have yet to produce breakthroughs worth a Nobel Prize. Research and business sectors have been disconnected for decades, with few research results turned into innovative technology and products. With few exceptions, Chinese enterprises depend on foreign sources for co...
Published on Apr 1, 2013in Research Policy5.42
Han Zhang1
Estimated H-index: 1
(THU: Tsinghua University),
Donald Patton8
Estimated H-index: 8
(UC Davis: University of California, Davis),
Martin Kenney18
Estimated H-index: 18
(UC Davis: University of California, Davis)
In 2006 China had become the fifth leading nation in terms of its share of the world's scientific publications. Today it is second only to the United States. This achievement has been accomplished in part by a conscientious effort by the government to improve the research performance of China's universities through a series of programs, the most important of which is the 985 Project. This paper considers the effects of the 985 Project on increasing the rate of publication in international journa...
Published on Apr 1, 2013in Journal of Informetrics3.88
Jiansheng Yang8
Estimated H-index: 8
(PKU: Peking University),
Michael W. Vannier60
Estimated H-index: 60
(U of C: University of Chicago)
+ 5 AuthorsGuo-RenWang56
Estimated H-index: 56
(VT: Virginia Tech)
Academic productivity and research funding have been hot topics in biomedical research. While publications and their citations are popular indicators of academic productivity, there has been no rigorous way to quantify co-authors’ relative contributions. This has seriously compromised quantitative studies on the relationship between academic productivity and research funding. Here we apply an axiomatic approach and associated bibliometric measures to revisit a recent study by Ginther et al. (Gin...
Published on Feb 1, 2013in Science & Public Policy1.57
Gaston Heimeriks17
Estimated H-index: 17
(UU: Utrecht University)
In this paper we study developments in biotechnology, genomics and nanotechnology in the period 1998--2008. The fields show changing interdisciplinary characteristics in relation to distinct co-evolutionary dynamics in research, science and society. Biotechnology emerged as a discipline in publication patterns at the same time as the number of biotechnology departments increased, whereas genomics emerged as a stable discipline, while the number of genomics departments declined. Nanotechnology ma...
Published on Jan 1, 2013in Journal of Informetrics3.88
Dieter Vanderelst11
Estimated H-index: 11
,
Niko Speybroeck43
Estimated H-index: 43
(UCL: Université catholique de Louvain)
Several studies have assessed whether funding of disease specific research is in line with their burden. The authors of these studies concluded that the burden of a disease was a good predictor for its associated research funding. However, previous analyses did not take into account diseases that mainly affect people living in low income regions, i.e. so-called diseases of poverty. Moreover, the analyses were only performed for the burden diseases cause in high income countries. We investigated ...
Published on Nov 30, 2012
Katri Huutoniemi2
Estimated H-index: 2
This dissertation investigates academic research evaluation from the novel perspective of interdisciplinary accountability. While the standard model of evaluation puts a premium on disciplinary expertise and professional control, increasing demands for both interdisciplinarity and accountability have brought about pressures to open scholarly knowledge production to scrutiny beyond disciplinary boundaries. This study is concerned with the socio-epistemic implications of these developments, and di...
Cited By5
Newest
Published on Sep 17, 2018in Library Hi Tech1.26
Jiang Wu1
Estimated H-index: 1
(WHU: Wuhan University),
Jingxuan Cai1
Estimated H-index: 1
(WHU: Wuhan University)
+ 1 AuthorsKe Dong1
Estimated H-index: 1
(WHU: Wuhan University)
Purpose Although interdisciplinary research is an increasing trend in scientific funding projects, they are suffering from a lower probability of being funded. The purpose of this paper is to analyze the current situation on successful case of funding application and provides suggestions on how libraries can expand services to help scientific funding application. Design/methodology/approach This paper utilizes the co-occurrences of disciplinary application codes to construct an interdisciplinary...
Published on Jul 31, 2018in PLOS ONE2.78
Zhiyi Shao1
Estimated H-index: 1
,
Yongming Li1
Estimated H-index: 1
+ 2 AuthorsYingjie Guo1
Estimated H-index: 1
Published on Apr 1, 2018in Scientometrics2.77
Star X. Zhao7
Estimated H-index: 7
(ECNU: East China Normal University),
Wen Lou2
Estimated H-index: 2
(ECNU: East China Normal University)
+ 1 AuthorsShuang Yu1
Estimated H-index: 1
(ECNU: East China Normal University)
Research funding has been seen as one of the most important resource in the reward system of science. And usage of publications denotes an interesting perspective of user behavior in scientific communication. This study aims to address the relationship between funding and Usage Count, which is a new metrics item established on the platform of Web of Science. Full records of 300,010 articles published in 2013 were downloaded in October 2015, and divided into six disciplines, including information...
Published on Jul 1, 2017in Scientometrics2.77
Jianping LiXiaolei19
Estimated H-index: 19
(CAS: Chinese Academy of Sciences),
Yongjia Xie4
Estimated H-index: 4
(CAS: Chinese Academy of Sciences)
+ 1 AuthorsYuanping Chen1
Estimated H-index: 1
(CAS: Chinese Academy of Sciences)
Research funding is a significant support for the development of scientific research. The inequality of research funding is an intrinsic feature of science, and policy makers have realized the over-concentration of funding allocation. Previous studies have tried to use the Gini coefficient to measure this inequality; however, the phenomena of multiple funding sources and funding subdivision have not been deeply discussed and empirically studied due to limitations on data availability. This paper...
Published on May 24, 2016in PLOS ONE2.78
Ying Huang5
Estimated H-index: 5
(BIT: Beijing Institute of Technology),
Yi Zhang11
Estimated H-index: 11
(UTS: University of Technology, Sydney)
+ 2 AuthorsXuefeng WangRongrong5
Estimated H-index: 5
(BIT: Beijing Institute of Technology)
How do funding agencies ramp-up their capabilities to support research in a rapidly emerging area? This paper addresses this question through a comparison of research proposals awarded by the US National Science Foundation (NSF) and the National Natural Science Foundation of China (NSFC) in the field of Big Data. Big data is characterized by its size and difficulties in capturing, curating, managing and processing it in reasonable periods of time. Although Big Data has its legacy in longstanding...
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