Hype in medical research funding applications
| Project/Area Number |
21K02919
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Review Section |
Basic Section 09080:Science education-related
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| Research Institution | University of Tsukuba |
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Principal Investigator |
Millar Neil 筑波大学, システム情報系, 准教授 (70751981)
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| Project Period (FY) |
2021-04-01 – 2025-03-31
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| Project Status |
Granted (Fiscal Year 2022)
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| Budget Amount *help |
¥3,510,000 (Direct Cost: ¥2,700,000、Indirect Cost: ¥810,000)
Fiscal Year 2024: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2023: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2022: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2021: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
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| Keywords | corpus lingusitics / scientific writing / research funding / research ethics / biomedical language / Medical discourse / Medical ethics / Corpus Linguistics |
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| Outline of Research at the Start |
This study assesses the use of 'hype' in funding applications for medical research - i.e. language which promotes positive aspects of the research (e.g. robust, novel, innovative, unprecedented). Findings will help inform review processes and have implications for writers of grant proposals.
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| Outline of Annual Research Achievements |
We analysed abstracts describing all research projects funded by the NIH during the period 1985 to 2020 for 'hype' adjectives. We published the findings of these analyses in JAMA Network Open (IF:13.37). The paper generated attention being picked up by news media organisations and the journal Science, and also being covered in a commentary piece in the same journal and an additional article in the Lancet. We conducted a follow up analysis of NIH funding announcements, which we have also published in JAMA Network Open. In addition we presented out work at two international conferences and submitted a linguistic analysis of our data to Applied Linguistics (IF: 4.6). We are constructing a dataset containing abstracts describing all research funded by the NIH during the same period.
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| Current Status of Research Progress |
Current Status of Research Progress
1: Research has progressed more than it was originally planned.
Reason
As described above, our results have generated interest in high impact journals. In addition, in order to address questions that have arisen in our analyses, we a currently constructing a dataset that was beyond the scope of about initial proposal.
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| Strategy for Future Research Activity |
We are constructing a corpus of all pubmed abstracts describing research funded by the NIH during the same period. We will analyse hype in the data and publish finding in both medical and linguistics journals.
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Report
(2 results)
Research Products
(10 results)
