ArticleSocial studies of science2020
Caring for data: Value creation in a data-intensive research laboratory.
Article in Social studies of science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed.
- The Government Should Play a Role Greater Than That of Construction Supervisor in the National Bio-Big Data Infrastructure.Journal of Korean medical science · 2024Article
- Domesticating data: Traveling and value-making in the data economy.Social studies of science · 2024Article
- Race and statistics in facial recognition: Producing types, physical attributes, and genealogies.Social studies of science · 2023Article
- Value-creation in the health data domain: a typology of what health data help us do.BioSocieties · 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
- Ethical Implications of e-Health Applications in Early Preventive Healthcare.Frontiers in genetics · 2022Article
- Staying with the trouble of networks.Frontiers in big data · 2022Article
- Thinking with attachments: Appreciating a generative analytic.Social studies of science · 2021Article
- Open science, data sharing and solidarity: who benefits?History and philosophy of the life sciences · 2021Article
- Renting Valuable Assets: Knowledge and Value Production in Academic Science.Science, technology & human values · 2021Article
- When more data means better results: Abundance and scarcity in research collaborations in epigenetics.Social sciences information. Information sur les sciences sociales · 2020Article
- 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
3 authors.
Funding
Abstract
Drawing upon ethnographic observations of staff working within a research laboratory built around research and clinical data from twins, this article analyzes practices underlying the production and maintenance of a research database. While critical data studies have discussed different forms of 'data work' through which data are produced and turned into effective research resources, in this paper we foreground a specific form of data work, namely the affective and attentive relationships that humans build with data. Building on STS and feminist scholarship that highlights the importance of care in scientific work, we capture this specific form of data work as care. Treating data as relational entities, we discuss a set of caring practices that staff employ to produce and maintain their data, as well as the hierarchical and institutional arrangements within which these caring practices take place. We show that through acts of caring, that is, through affective and attentive engagements, researchers build long-term relationships with the data they help produce, and feel responsible for its flourishing and growth. At the same time, these practices of care - which we found to be gendered and valued differently from other practices within formal and informal reward systems - help to make data valuable for the institution. In this manner, care for data is an important practice of valuation and valorisation within data-intensive research that has so far received little explicit attention in scholarship and professional research practice.
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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.