在使用数字心理数据的二级研究中扩大正义的作用
Jonathan Herington1, Kevin Li2, Anthony R Pisani3
1Department of Health Humanities and Bioethics, University of Rochester.
The American psychologist
|January 18, 2024
概括
数字心理数据 (DPD) 的二次分析需要超越去识别的伦理考虑. 研究人员必须优先考虑正义,公平地分配DPD研究中的收益和负担.
科学领域:
- 心理学 心理学 心理学
- 数字健康数字健康
- 研究伦理学研究伦理学
背景情况:
- 数字心理数据 (DPD) 的二次分析在行为健康研究中很常见.
- 当前的伦理标准依赖于数据的非识别,经常绕过人类受试者的审查.
- 这种方法忽视了与DPD二次研究相关的重大伦理风险.
研究的目的:
- 批评非识别作为DPD二级研究的唯一道德标准的充分性.
- 突出正义的伦理原则及其与DPD研究的相关性.
- 提出一个框架,在没有明确同意的情况下,以道德的方式进行DPD的二次研究.
主要方法:
- 在DPD研究中对现有的伦理实践进行概念分析.
- 在DPD二次分析的背景下,正义道德原则的应用.
- 在"司法情形"下确定DPD研究中固有的"社会风险".
主要成果:
- 仅仅是去识别是不足以解决DPD二次研究的伦理风险.
- 个人专注的研究伦理不适合DPD,需要专注于社会风险.
- 概述了没有明确同意的DPD伦理研究的六个考虑因素.
结论:
- 伦理DPD研究需要从个人同意转向基于正义的框架.
- 研究人员必须主动管理DPD研究中利益和负担的公平分配.
- 透明度,利益相关者的意见和负责任的报告对道德DPD二次分析至关重要.
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