负责任地共享定性研究数据:来自美国一项开创性项目的见解
Heidi A Walsh1, Meredith V Parsons1, Jessica Mozersky1
1Bioethics Research Center at Washington University School of Medicine in Saint Louis, St. Louis, MO, USA.
International journal of qualitative methods
|November 3, 2025
概括
负责任地共享定性研究数据现在是可行的. 新的指导方针和软件有助于卫生研究人员去识别敏感数据,促进开放科学和透明度.
科学领域:
- 卫生科学研究 卫生科学研究
- 定性研究是指质量研究.
- 数据共享数据共享
背景情况:
- 质量研究数据共享正在增加,促进开放科学和透明度.
- 人们对数据的敏感性,保密性,所有权和去识别负担存在担忧.
- 现有的存储库缺乏有关质量数据共享的具体指导.
研究的目的:
- 识别和减少道德和实际障碍,以共享有质量的健康研究数据.
- 为负责任的定性数据去识别,存储和共享制定指南和工具.
- 通过与定性研究人员的试点项目来测试和完善这些资源.
主要方法:
- 制定了特定的定性数据共享 (QDS) 准则和工具.
- 创建并测试了质量数据共享 (QuaDS) 软件,用于数据去识别.
- 协助28名定性健康科学研究人员在数据准备和对存储库存款的非识别方面提供帮助.
主要成果:
- 成功招募,注册和协助28名定性健康科学研究人员.
- 基于研究人员和策展人的反和团队观察的精细流程和软件.
- 通过试点项目证明了负责任的定性数据共享的可行性.
结论:
- 质量数据共享是可行的,并且可以在适当的支持下负责任地进行.
- 开发的指导方针和软件有效地解决了分享敏感定性数据的障碍.
- 试点项目的成果支持在卫生科学领域更广泛地采用负责任的定性数据共享实践.
关键词:
数据的保密性数据的保密性数据存储库数据存储库.定性数据 匿名化 定性数据 匿名化分享定性数据的共享.定性研究人员是研究人员.研究合规性研究研究合规性社会科学 社会科学 社会科学软件软件 软件 软件 软件更多相关视频
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