Configuring personal data for a quantified-self archive

by | May 1, 2019 | Research Publications

Author(s):

  • Trace, Ciaran B.
  • Zhang, Yan

Abstract:

An audience exists for personal information, including quantified-self data, beyond an individual’s social network and social communities. In the era of big data, the research and policy arenas are two areas where up-to-date assemblages of personal information have market value. In this ongoing study, we examine the long-term value of small data [2], acknowledging that there is also a societal need and an audience for rich, personalized collections of digital self-tracking records. Using qualitative research methods, we interviewed 18 people to explore the nature of self-tracking data that exists as a byproduct of daily life, and their sense of why and how their data could be archived for posterity. In the process, the intellectual and design challenges of a digital quantified-self archive are explored.

Document:

https://doi.org/10.1145/3290607.3313017

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