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Analysis of relations between research funding allocation and research output

1. Purpose of “visualization”

It is vitally important for discussion of effectively research funding allocation to construct a system to visualize how linking Government funding and research output including patent, because the government finances are severely squeezed.

Competitive funding data on e-Rad and non-competitive funding data from related organizations were merged. The purpose is to collect data about all research funding allocation to researchers on national university corporations, inter-university research institute corporations, and research and development institutions.

The Cabinet Office obtained bibliographic data on research output, such as the number of articles and citations, and analyzed the relationship between the input and the output.

2. “Visualization” method

2.1 Overview and background

Research input (FY2018) and research output (2018) were linked by information about individual researchers as nodal point.

  Research input (FY 2018) should be linked to data about research output after 2019, but it was not obtained. Therefore, this analysis was conducted on the assumption that a trend of funding before 2017 doesn’t differ from 2018.

2.2 Data and information for “visualization”

2.2.1 Funding data
  • ・Budget execution data (82,180 researchers are registered) for fiscal 2018 that were gathered from 117 of national university corporations, inter-university research institute corporations, and research and research and development institutions (119 institutions) were used.
  • ・Execution data were gathered from each institution by 7 types of funding: Management Expenses Grants, Grants‐in‐aid for Scientific Research, Other competitive funding, Other subsidies, Donations, Research grants from private sector, and Clinical trials. Funding that groups earned were distributed proportionally including members of a research project.
2.2.2 Data about researchers’ age

Human resources masters that each institution have provided to Cabinet Office were used as information about each researcher on e-Rad.

2.2.3 Data about research papers (Scopus)
  • ・Data that Elsevier extracted in December 2019 for research paper published in 2018 from Japanese institutions was used as a trial.
  • ・To know about linking author IDs and e-Rad researcher IDs, please see below.
    Analysis: ”Visualizing the research capacity of national universities and research and development institutions”
    →” Analysis of relation between research output and researcher attribution”
    →” 2.2 The bibliographic information database, author IDs, and e-Rad researcher IDs”
2.2.4 Consignee

Mitsubishi UFJ Research and Consulting Co.,Ltd

3. “Visualization" results

3.1 A relation between researcher’s age and acquisition of research funding

財源別 研究者の年齢ごとの平均金額・獲得者割合(1/3)
財源別 研究者の年齢ごとの平均金額・獲得者割合(2/3
財源別 研究者の年齢ごとの平均金額・獲得者割合(3/3

3.2 Relations between acquisition of research funding and the number of research papers and citations

Top 1%、10% 論文における論文数・被引用数の傾向

4. Material

A material about a relationship between research funding allocation and research output can be download from here as PDF file.


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