大数据时代的质性研究伦理

本文旨在对大数据时代进行定性研究实践时引发的道德伦理和实践问题进行详细讨论。

鉴于许多研究团体对大数据的重视，大数据技术的出现引发人们关注其对定性研究的潜在和不同影响所带来的道德伦理问题。尽管全新的数据收集、存储、共享和分析技术为定性研究提供了创新方法，但它们也为负责任地使用这些数据带来了独特的挑战。

根据从 2016 年国家科学基金会资助的研讨会上收集的文献综述和见解，定性研究人员及其所属机构在浏览这些新兴研究领域时应考虑五项原则。

无论定性研究是否直接参与这些发展，大数据技术和方法都改变了研究实践的规范和道德伦理。我们要积极参与讨论，并思考定性研究人员如何能确立方向并创造出适合进行符合道德伦理并且有意义的研究的条件。

摘 要

This article examines the developments that have motivated this special issue on Qualitative Research Ethics in the Big Data Era. The article offers a broad overview of many pressing challenges and opportunities that the Big Data era raises particularly for qualitative research. Big Data has introduced to the social sciences new data sources, new research methods, new researchers, and new forms of data storage that have immediate and potential effects on the ethics and practice of qualitative research. Drawing from a literature review and insights gathered at a National Science Foundation-funded workshop in 2016, we present five principles for qualitative researchers and their institutions to consider in navigating these emerging research landscapes. These principles include (a) valuing methodological diversity; (b) encouraging research that accounts for and retains context, specificity, and marginalized and overlooked populations; (c) pushing beyond legal concerns to address often messy ethical dilemmas; (d) attending to regional and disciplinary differences; and (e) considering the entire lifecycle of research, including the data afterlife in archives or in open-data facilities.

关键词

Big Data, qualitative research, research ethics

论文原标题：

Qualitative Research Ethics in the Big Data Era

First Published November 5, 2018