Rumbold John, Pierscionek Barbara
School of Science and Technology, Nottingham Trent University, Nottingham, United Kingdom.
JMIR Med Inform. 2018 Nov 22;6(4):e47. doi: 10.2196/medinform.7096.
The current law on anonymization sets the same standard across all situations, which poses a problem for biomedical research.
We propose a matrix for setting different standards, which is responsive to context and public expectations.
The law and ethics applicable to anonymization were reviewed in a scoping study. Social science on public attitudes and research on technical methods of anonymization were applied to formulate a matrix.
The matrix adjusts anonymization standards according to the sensitivity of the data and the safety of the place, people, and projects involved.
The matrix offers a tool with context-specific standards for anonymization in data research.
现行的匿名化法律在所有情况下都设定了相同的标准，这给生物医学研究带来了问题。
我们提出一个用于设定不同标准的矩阵，该矩阵能响应具体情况和公众期望。
在一项范围界定研究中，对适用于匿名化的法律和伦理进行了审查。运用关于公众态度的社会科学以及匿名化技术方法的研究来制定一个矩阵。
该矩阵根据数据的敏感性以及所涉及的地点、人员和项目的安全性来调整匿名化标准。
该矩阵为数据研究中的匿名化提供了一个具有针对具体情况标准的工具。
