Impediment to insight to innovation: understanding data assemblages through the breakdown–repair process

Abstract

As the era of ‘big data’ unfolds, researchers are increasingly engaging with large, complex data sets compiled from heterogeneous sources and distributed across networked technologies. The nature of these data sets makes it difficult to grasp and manipulate their materiality. We argue that moments of breakdown – points at which progress is stopped due to a material limitation – provide opportunities for researchers to develop new imaginations and configurations of their data sets' materiality, and serve as underappreciated resources for knowledge production. In our ethnographic study of data-intensive research in an academic setting, we emphasize the layers of repair work required to address breakdown, and highlight incremental innovations that stem from this work. We suggest that a focus on the breakdown–repair process can facilitate nuanced understandings of the relationships and labour involved in constituting data assemblages and constructing knowledge from them.