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

Joseph Donia et al.

Social Studies of Science2025https://doi.org/10.1177/03063127251353027article
AJG 2
Weight
0.46

What the paper says

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.

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https://doi.org/https://doi.org/10.1177/03063127251353027

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@article{joseph2025,
  title        = {{Making data markets: Assetization, valuation, and proxy work in a digital health start-up}},
  author       = {Joseph Donia et al.},
  journal      = {Social Studies of Science},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1177/03063127251353027},
}

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

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Evidence weight

0.46

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.37 × 0.4 = 0.15
M · momentum0.60 × 0.15 = 0.09
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.