人口健康科学数据中个人敏感信息分类研究

目的：细化人口健康科学领域个人敏感信息类型，以期推进人口健康科学数据的开放和共享及个人敏感信息的立法保护提供参考，为人口健康科学数据平台的数据管理工作提供借鉴。方法：基于文献调研法考察了国内外个人敏感信息的界定，基于内容分析法总结了人口健康领域中个人敏感信息的类型，并进行了多维特征分析。结果：将人口健康领域中个人敏感信息细化为身份标识信息、生物特征信息、健康医疗信息3个大类，下分9个小类。结论：个人敏感信息细化分类符合依据不同领域特点将敏感个人信息具体化的国际立法的趋势，可作为制定人口健康科学数据收集管理策略和共享策略的参考。

Classification of personal sensitive information in population health science data

Objective To classify the personal sensitive information in population health science data in order to provide reference for promoting the opening and sharing of population health science data, legislation and protection of personal sensitive information, and data management of population health science data platform. Methods The domestic and foreign personal sensitive information was defined based on literature survey. The types of personal sensitive information in population health science were summarized by content analysis. The characteristics of personal sensitive information were analyzed by multidimensional analysis. Results The personal sensitive information in population health science was classified into 3 big classes, namely identity information, biological characteristic information, health and medical care information, which were further classified into 9 small classes. Conclusion The classification of personal sensitive information is confirmed to the international legislation trend in specific personal sensitive information according to the characteristics of different fields and can be used as a reference in working out the strategies for data collection and management in population health science.