Data Aggregation as Social Relations: Making Datasets from Self-Tracking Data

Abstract

Data aggregations are an under-acknowledged site of social relations. The social and technical specifics of how data aggregate are arenas for rich debates about how knowledge ought to be produced, and who should produce it. Consumer goods such as fitness trackers create conditions where data scientists or professional researchers are no longer the only ones making decisions about how to aggregate data. Users of these products also rework their data to discover something medically significant to them. These practices call attention to a modality of ‘scaling up’ datasets about a single person that is different from, and until recently largely invisible to, clinical approaches to big data, which privilege the creation of a ‘bird’s eye’ view across as many people. Both technical questions how to build these aggregations, and social questions of who should be involved, betray broader epistemological issues about how new knowledge is created from electronic devices.

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