Qualitative research at the crossroads of open science and big data: Ethical considerations

IF 4.8 2区 心理学 Q1 PSYCHOLOGY, SOCIAL
Sondra M. Stegenga, Crystal N. Steltenpohl, Hilary Lustick, Melanie S. Meyer, Rachel Renbarger, Laurel Standiford Reyes, Lindsay Ellis Lee
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引用次数: 0

Abstract

Abstract Open science practices are quickly being scaled up with publishers, grant‐makers, and Institutional Review Boards implementing new open policies, including requirements for increased data sharing across all types of research. Prior open science guidelines have focused mostly on issues relevant to quantitative, lab‐based, experimental research. Qualitative and other research traditions must be considered in the further development and implementation of these guidelines to ensure ethical practices in a new era where data is plentiful and being leveraged for research and other means. This article includes a discussion of why we must consider new research ethics in this era of big data and what steps can be taken to improve research practices through a systems change framework, The Consolidated Framework for Implementation Research.
开放科学和大数据十字路口的定性研究:伦理考虑
开放科学实践正在迅速扩大,出版商、资助者和机构审查委员会正在实施新的开放政策,包括在所有类型的研究中增加数据共享的要求。先前的开放科学指南主要关注与定量、基于实验室的实验研究相关的问题。在进一步制定和实施这些指导方针时,必须考虑定性和其他研究传统,以确保在数据丰富并被用于研究和其他手段的新时代的道德实践。本文讨论了为什么我们必须在这个大数据时代考虑新的研究伦理,以及通过系统变革框架(实施研究综合框架)可以采取哪些步骤来改进研究实践。
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来源期刊
Social and Personality Psychology Compass
Social and Personality Psychology Compass Psychology-Social Psychology
CiteScore
5.20
自引率
2.20%
发文量
59
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