Evidence map›Paper›PMID 40635358›Full record

ArticleSocial studies of science2026

Making data markets: Assetization, valuation, and proxy work in a digital health start-up.

Joseph Donia, Jennifer Gibson, James A Shaw

Abstract read
In one paragraph

Article in Social studies of science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Joseph DoniaInstitute of Health Policy, Management & Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.ORCID 0000-0001-5834-8198
Jennifer GibsonInstitute of Health Policy, Management & Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.
James A ShawJoint Centre for Bioethics, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital data are increasingly framed as essential resources in health and medicine, implicating diverse actors who work to transform them into different forms of value. In this article we focus on the diverse and contingent valuation practices that shaped an artificial intelligence-enabled 'smart' health technology and the data it generated at different moments in time, and the corresponding asset forms that were envisioned, developed, tested, and marketed. We also outline the role of assetization as a contested but essential design and marketing activity, and introduce the notion of proxy work as an intermediary between data generation and assetization, where people, infrastructures, and other material devices are arranged in such a way that data become capable of 'standing in' for something else, allowing accountable forms of value to be realized across multiple sites. We conclude with a discussion of the consequences of assetization as a dominant lens through which governments, firms, and other actors increasingly understand the value of digital health data, and the different health-related futures those practices make possible.

Indexed as

Artificial IntelligenceDigital TechnologyDigital HealthHumansassetizationcommercializationdatadigital healthgovernancevaluationvalue

Identifiers

PMID40635358
PMCPMC12882975

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.