Evidence map›Paper›PMID 42707356›Full record

ArticleFrontiers in digital health2026

Health data sovereignty: pinpointing conceptual ambiguities.

Cristian Timmermann, Javiera Atenas, Bianca Jansky, Wannes Van Hoof, Frank Ursin

Abstract read
In one paragraph

Article in Frontiers in digital health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Cristian TimmermannInstitute for Ethics and History of Health in Society, Medical Faculty, University of Augsburg, Augsburg, Germany.
Javiera AtenasSchool of Business, Arts, Social Sciences and Technology, University of Suffolk, Ipswich, United Kingdom.
Bianca JanskyInstitute for Ethics and History of Health in Society, Medical Faculty, University of Augsburg, Augsburg, Germany.
Wannes Van HoofData Governance Directorate, Sciensano, Brussels, Belgium.
Frank UrsinInstitute for Ethics, History and Philosophy of Medicine, Hannover Medical School, Hannover, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Collection of health data has increasingly become central within healthcare and public health, and various actors such as clinicians, researchers, policymakers and patients are increasingly voicing claims to being able to responsibly control data. In this context, the concept of health data sovereignty (HDS) has had highs and lows in bioethics and policy discussions over the years without being either fully discarded or established. We argue that while there is a persistent discussion on defining the underlying concepts of "health" and "data", the real hurdle in the widescale adoption of the concept of HDS in research and policy lies in substantial disagreements on the scope and implications of the concept of sovereignty. We argue that before the concept of HDS can have a meaningful impact, we need to clarify five issues: (1) lack of consensus over who should claim sovereignty, (2) the public goods problem of sovereignty, (3) reliably maintaining sovereignty, (4) the need to protect the reasonable interests of all stakeholders, and (5) the links between solidarity and sovereignty. In mapping these conceptual challenges and the tensions between them, we hope to ignite new policy efforts and community-level grassroots initiatives towards HDS based on ethical deliberations.

Indexed as

digital bioethicsdigital infrastructuregovernancepublic goodsself-determinationsolidarity

Identifiers

PMID42707356
PMCPMC13547279

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.