Open Science, Health Data and Epistemic Harms: A Multidisciplinary Reflection.

Q2 Computer Science

Data Science Journal Pub Date : 2026-04-10 DOI:10.5334/dsj-2026-015

Tatenda Chatikobo, Frances Griffiths, Nikita Hayden, Gary Leeming, Ankita Mishra, Eva Morris, Luca Schirru, Nathanael Sheehan, Andrew Williams, Sharifah Sekalala

引用次数: 0

Abstract

Open Science (OS) promises to democratise knowledge and reduce epistemic inequalities. However, a critical analysis reveals the potential of OS to amplify structural vulnerabilities, especially for people and communities already at the margins. With a particular focus on health data, this interdisciplinary essay examines how OS infrastructures perpetuate epistemic harms through the dominance of Eurocentric knowledge norms, legal regimes and corporate capture. Amidst the rapidly evolving health and data landscape, realising the social justice potential of OS, especially in healthcare, demands moving beyond techno-optimism to approaches that centre plural epistemologies, relational accountability and community empowerment.

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开放科学、健康数据和认知危害：多学科反思。

开放科学（OS）承诺使知识民主化，减少认知不平等。然而，一项批判性的分析表明，操作系统有可能放大结构性漏洞，特别是对于已经处于边缘的人和社区。这篇跨学科的论文特别关注健康数据，研究了操作系统基础设施如何通过以欧洲为中心的知识规范、法律制度和企业捕获的主导地位，使认知危害持续存在。在快速发展的健康和数据环境中，实现操作系统的社会正义潜力，特别是在医疗保健领域，需要超越技术乐观主义，转向以多元认识论、关系问责制和社区赋权为中心的方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Data Science Journal Computer Science-Computer Science (miscellaneous)

CiteScore

5.40

自引率

0.00%

发文量

审稿时长

10 weeks

期刊介绍： The Data Science Journal is a peer-reviewed electronic journal publishing papers on the management of data and databases in Science and Technology. Details can be found in the prospectus. The scope of the journal includes descriptions of data systems, their publication on the internet, applications and legal issues. All of the Sciences are covered, including the Physical Sciences, Engineering, the Geosciences and the Biosciences, along with Agriculture and the Medical Science. The journal publishes papers about data and data systems; it does not publish data or data compilations. However it may publish papers about methods of data compilation or analysis.