| Project/Area Number |
17K01438
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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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| Research Field |
Medical engineering assessment
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| Research Institution | National Institute of Public Health (2018-2021)
Wakayama Medical University (2017) |
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Principal Investigator |
Doi Mariko 国立保健医療科学院, その他部局等, 主任研究官 (70636860)
|
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| Co-Investigator(Kenkyū-buntansha) |
岡田 昌史 東京大学, 医学部附属病院, 特任講師 (70375492)
上野 悟 国立保健医療科学院, その他部局等, 上席主任研究官 (20595706)
|
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| Project Period (FY) |
2017-04-01 – 2022-03-31
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| Project Status |
Completed (Fiscal Year 2021)
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| Budget Amount *help |
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2019: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2018: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2017: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
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| Keywords | 効率化 / データマネジメント / 臨床研究 / データ管理 / 症例報告書の検討 / データ取集モデル |
|---|
| Outline of Final Research Achievements |
In this study, we created programs for data checking for clinical research data using the statistical analysis software R. We also constructed an efficient inquiry flow for data queries and built a report generation program using the R studio report generation function, which is R-related software. The data checking using R statistical analysis software and the report generation function of R studio was considered to be applicable and reusable for data management in other clinical trials. In those cases, it would be favorable to standardize the names of data items.
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| Academic Significance and Societal Importance of the Research Achievements |
臨床研究のデータマネジメントの手法が再利用されることで、コストも含めた効率的なデータマネジメントが可能になると考えられる。
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