在生命科学和医学领域的数据治理和开放共享:一项文献计量分析
1School of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Digital health
|February 27, 2025
概括
这种图书统计分析揭示了生命科学和医学数据治理以及开放共享研究的日益增长的趋势. 关键领域包括 FAIR 原则,伦理考虑和人工智能应用,用于未来的数据管理策略.
科学领域:
- 生命科学 生命科学
- 医学 医学 医学 医学 医学
- 医疗信息学 医疗信息学
背景情况:
- 数据治理和开放共享在生命科学和医学领域越来越重要.
- 了解研究趋势对于推动科学发现和公共卫生至关重要.
研究的目的:
- 进行数据治理和生命科学和医学领域的开放共享文献的文献计量分析.
- 识别出版物特征,研究热点和新兴趋势.
主要方法:
- 从Web of Science核心收藏中对2529份文件 (2000-2024) 的图书统计分析.
- 使用VOSviewer进行并发分析,使用CiteSpace进行聚类,突发检测和主题演变.
主要成果:
- 自2000年以来,关于数据治理和开放共享的出版物每年增加.
- 美国在研究成果方面领先;牛津大学在出版物方面领先.
- 科学数据管理和管理的FAIR指导原则是最常被引用的参考.
结论:
- 目前的热点包括FAIR原则,道德,公众态度,数据质量和大数据分析.
- 未来的研究前沿涉及人工智能在数据治理,公共卫生数据共享,慢性疾病数据和治理模型.
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