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Caring for data: Value creation in a data-intensive research laboratory
Author(s) -
Pinel Clémence,
Prainsack Barbara,
McKevitt Christopher
Publication year - 2020
Publication title -
social studies of science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.609
H-Index - 89
eISSN - 1460-3659
pISSN - 0306-3127
DOI - 10.1177/0306312720906567
Subject(s) - flourishing , scholarship , ethnography , sociology , value (mathematics) , public relations , work (physics) , valuation (finance) , knowledge management , engineering ethics , psychology , data science , computer science , political science , business , social psychology , engineering , mechanical engineering , finance , machine learning , anthropology , law
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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