Making Personal Data Personal: The Emergence of Enactive Data in Organizations

Marta Stelmaszak (), Silvia Masiero (), Katherine Wyers (), Aleksi Aaltonen () and Erica Wagner ()
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Marta Stelmaszak: University of Massachusetts Amherst
Silvia Masiero: University of Oslo
Katherine Wyers: University of Oslo
Aleksi Aaltonen: Stevens Institute of Technology
Erica Wagner: Portland State University

Chapter 5 in Technology, Management, and Design for Social Justice, 2026, pp 103-125 from Springer

Abstract: Abstract Organizations collect large amounts of personal data about their employees, customers, and other stakeholders. These data entail generally well-known issues such as those related to privacy or the ownership of personal data. Yet, personal data are typically assumed to be largely similar in their nature to data that may concern, for instance, physical assets, transactions, or market trends. In this chapter, we problematize this view and argue that personal data increasingly escape the prevailing perspectives as the data function not just to describe but also to help perform individuals’ identities in datafied environments. Using gender identity data as an example of personal data that are used by individuals to enact their identities, we conceptualize enactive data as a new type of data that organizations have to cope with. We then discuss the challenges and opportunities that enactive data pose for social justice, organizations, and personal data research.

Keywords: Data management; Gender; Personal data; Recognition; Representation; Data justice (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-032-20821-7_5

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DOI: 10.1007/978-3-032-20821-7_5

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