按照协议重新使用生物医学数据 - - 针对数据使用协议的结构化元数据
Caroline Bönisch1, Sabine Hanß1,2, Nicolai Spicher1,2,3
1Department of Medical Informatics, University Medical Center Göttingen, Germany.
Studies in health technology and informatics
|September 12, 2023
概括
由于非结构化合同,管理生物医学数据使用协议是复杂的. 本研究确定了关键的元数据,以简化数据共享和研究人员的合规性.
科学领域:
- 生物医学信息学 生物医学信息学
- 数据治理数据治理
- 研究伦理学研究伦理学
背景情况:
- 从队列研究和临床常规数据中增加可重复使用的生物医学数据的可用性.
- 数据再使用者很难根据异构的数据使用协议 (DUA) 管理转移的数据.
- 目前的DUA是非结构化的文本文件,使合规性和日常研究实践复杂化.
研究的目的:
- 分析和审查数字数据传输的现有数据使用协议.
- 识别必要的元数据,以管理数据使用,存储,共享和发布法规.
- 为改善数据治理和可访问性提出结构化元数据方法.
主要方法:
- 检查和审查七个不同的数据使用协议.
- 专注于复制并转移到请求者的环境中的数字数据.
- 在关键类别中识别元数据项目:数据使用,存储,共享和发布.
主要成果:
- 在四个主要类别中确定了24个基本元数据项目:数据使用,存储,共享和结果发布.
- 在DUA所涵盖的主题中显示出显著的重叠,但在具体法规中存在多样性.
- 强调这些法规对日常研究活动和数据共享的实际相关性.
结论:
- 一个有限的结构化元数据项组可以显著提高数据可访问性和合规性.
- 结构化元数据为数据科学家提供了关于DUA的关键信息,以及传输的数据.
- 这种方法使数据使用协议的管理更容易,甚至考虑可信的研究环境.
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