实施生物银行数字成熟度框架
Federica Rossi1, Davide Fragnito1, Antonella Cruoglio1
1Istituto degli Endotipi in Oncologia, Metabolismo e Immunologia "G. Salvatore" (IEOMI), Naples, Italy.
Journal of biomedical informatics
|May 9, 2025
概括
生物库需要更好的数字化来实现可复制的研究. 一个新的框架,BB4FAIR,评估了意大利的生物银行,揭示了数字同意和数据注释方面的差距,这对FAIR数据原则至关重要.
科学领域:
- 生物银行和研究基础设施.
- 数字化和数据管理数据管理
- 可重复的研究可重复性研究
背景情况:
- 数字化对于生物库中的可重复性研究和FAIR数据原则至关重要.
- 由于监管和后勤因素,评估生物银行数字化是复杂的.
研究的目的:
- 开发和试行一个定量框架 (BB4FAIR) 来评估生物银行数字化成熟度.
- 确定生物银行流程需要改进的领域,以提高数据的公平性.
主要方法:
- 开发了BB4FAIR框架,并对IT基础设施,人员和数据注释进行了调查.
- 实现了一个自动化的R/Shiny系统,用于响应分析和可视化.
- 在46个意大利生物库 (BBMRI.it) 试点使用该工具.
主要成果:
- 生物银行之间数字化水平的显著异质性.
- 几乎一半的人拥有足够的IT基础设施和人员;更少的人拥有强大的数据注释.
- 大多数生物银行缺乏数字知情同意,尽管使用生物银行IT管理系统 (BIMS).
结论:
- 迫切需要在BBMRI.it.it中改进IT培训和数据注释资源.
- 有针对性的改进是必要的,以加强生物银行数字化和数据公平性.
- 通过#NextGenerationEu"加强BBMRI.it"项目正在进行纠正行动.
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