ReviewPatterns (New York, N.Y.)2022
Data justice and data solidarity.
Review in Patterns (New York, N.Y.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed.
- Justice in the governance of personal health data spaces: stakeholder perspectives in Belgium.BMC medical ethics · 2026Article
- Autism data sharing: Benefits, challenges, and recommendations.PLOS digital health · 2026Review
- Health data sovereignty: pinpointing conceptual ambiguities.Frontiers in digital health · 2026Article
- Data governance must consider the interests of the global community.Nature medicine · 2025Article
- How predictive medicine leads to solidarity gaps in health.NPJ digital medicine · 2025Article
- A Review and Tutorial on Machine Learning-Enabled Radar-Based Biomedical Monitoring.IEEE open journal of engineering in medicine and biology · 2024Article
- Stimulating solidarity to improve knowledge on medications used during pregnancy : A contribution from the ConcePTION project.BMC medical ethics · 2023Article
- Reflections on Putting AI Ethics into Practice: How Three AI Ethics Approaches Conceptualize Theory and Practice.Science and engineering ethics · 2023Article
- Transparent human - (non-) transparent technology? The Janus-faced call for transparency in AI-based health care technologies.Frontiers in genetics · 2022Article
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Datafication shapes and gradually transforms societies. Given this impact, issues of justice around data-driven practices have received more and more attention in recent years as shown, for example, by various reports and guidelines on artificial intelligence and data ethics. In this article, we elaborate on and defend two claims. First, these discourses on justice tend to center primarily around conceptions of fairness. We argue that justice in connection with datafication relates to, but ultimately encompasses more than, solely fairness. Second, although it is an important project to clarify what justice in connection with datafication encompasses, we argue that attention toward attitudes and practices of
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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.