ArticleData science journal2026
Open Science, Health Data and Epistemic Harms: A Multidisciplinary Reflection.
Article in Data science journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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0 citing papers in PubMed.
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.