ArticleScience, technology & human values2021
Renting Valuable Assets: Knowledge and Value Production in Academic Science.
Article in Science, technology & human values, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed, 38 citations in OpenAlex.
- Making data markets: Assetization, valuation, and proxy work in a digital health start-up.Social studies of science · 2026Article
- Diving into Relevance: How Deep Sea Researchers Articulate Societal Relevance within their Epistemic Living Spaces.Minerva · 2025Article
- Therapeutic value in the time of digital brainwaves.Social studies of science · 2024Article
- Domesticating data: Traveling and value-making in the data economy.Social studies of science · 2024Article
- Assetization and the 'new asset geographies'.Dialogues in human geography · 2024Article
- Innovation in Technology Instead of Thinking? Assetization and Its Epistemic Consequences in Academia.Science, technology & human values · 2024Article
- The practical ethics of repurposing health data: how to acknowledge invisible data work and the need for prioritization.Medicine, health care, and philosophy · 2023Article
- 'Whiteness is anHigher education · 2022Article
- Credit and Recognition for Contributions to Data-Sharing Platforms Among Cohort Holders and Platform Developers in Europe: Interview Study.Journal of medical Internet research · 2022Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
Abstract
This paper explores what it takes for research laboratories to produce valuable knowledge in academic institutions marked by the coexistence of multiple evaluative frameworks. Drawing upon ethnographic fieldwork carried out in two UK-based epigenetics research laboratories, I examine the set of practices through which research groups intertwine knowledge production with the making of scientific, health and wealth value. This includes building and maintaining a portfolio of valuable resources, such as expertise, scientific credibility or data and turning these resources into assets by carefully organising and managing their value. Laboratories then put these assets to productive use within and outside their labs towards the creation or extraction of value. I identify two models for producing value within academic science: a commodity-based model whereby laboratories mobilise their assets to produce results, which can be converted into publications for the accumulation of credibility capital; and a rentier model of accumulation, whereby laboratories own valuable assets, which they rent out to others outside their lab against a revenue. Following recent developments in STS on value production in the bioeconomy, I argue that the concepts of asset and rent are essential analytical tools to get to grips with the origins of value within academic science.
Indexed as
Identifiers
What OpenQuestion holds
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.