Abstract

This paper is concerned with everyday data practices, considering how people record data produced through self-monitoring. The analysis unpacks the relationships between taking a measure, and making and reviewing records. The paper is based on an interview study with people who monitor their blood pressure and/or body mass index/weight. Animated by discussions of ‘data power’ which are, in part, predicated on the flow and aggregation of data, we aim to extend important work concerning the everyday constitution of digital data. In the paper, we adopt and develop the idea of curation as a theory of attention. We introduce the idea of discerning work to characterise the skilful judgements people make about which readings they record, how readings are presented, and about the records they retain and those they discard. We suggest self-monitoring produces partial data, both in the sense that it embodies these judgements, and also because monitoring might be conducted intermittently. We also extend previous analyses by exploring the broad set of materials, digital and analogue, networked and not networked, involved in record keeping to consider the different ways these contributed to regulating attention to self-monitoring. By paying attention to which data is recorded and the occasions when data is not recorded, as well as the ways data is recorded, the research provides specificity to the different ways in which self-monitoring data may or may not flow or contribute to big data sets. We argue that ultimately our analysis contributes to nuancing our understanding of ‘data power’.

Highlights

  • This paper is concerned with everyday data practices, considering how people record data produced through self-monitoring

  • We aim to extend important work published in this journal concerning everyday data practices and, the everyday constitution of digital data (Lupton, 2018a; Pink et al, 2018, 2017)

  • If they are not recording their data, what are they doing when they self-monitor? Sometimes participants did this for reassurance, just wanting to know if their blood pressure or body mass index (BMI) was in the normal range and they were able to recall this without needing to remember the precise number or to keep records

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Summary

Introduction

This paper is concerned with everyday data practices, considering how people record data produced through self-monitoring. We extend previous analyses by exploring the broad set of materials, digital and analogue, networked and not networked, involved in record keeping to consider the different ways these contributed to regulating attention to self-monitoring. Selfmonitoring has been characterised as disciplining and normalising, creating particular kinds of neoliberal, self-regulating subjects and reinforcing obligations for self-care (e.g., Lupton, 2016) It is seen as part of the broader ‘datafication of health’ (MayerScho€nberger and Cukier, 2013; Ruckenstein and Schull, 2017; Van Dijck and Poell, 2016), in which, increasingly, aspects of bodily experience are transformed into quantified data. Offering some critique of this, Ruckenstein and Schull (2017) call for more attention to everyday engagements with data in practice: ‘Scholars who attend to the power dynamics of datafication have been faulted for their heavy focus on the oppressive, normalizing, and exploitative forces of datafication and their lack of attention to cases of noncompliance, appropriation and existential possibility’ (256)

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