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 # Introduction
 
-This book is an attempt to “push conversations on what constitutes an archive”[[1]](#1), to have “more tactical engagements with the role of archives”[[2]](#2) and to “reimagine the bounded nature of the monograph”[[3]](#3). It is based on Kat’s ERC funded Politics of Patents (POP) project hosted at Goldsmiths College at the University of London. In this research, Kat and her team use a mixed-methods approach to ambitiously explore an extensive global database of historical clothing patents that covers more than 230.000 entries over a period of 200 years. Applying quantitative, qualitative and practice research methods to large amounts of data poses the question of how such a massive archive can be navigated, sorted and made sense of while staying committed to the careful, detailed, and embodied potential meanings of wearable data from the past and for the future.
+This book is an attempt to “push conversations on what constitutes an archive”[[1]](#1), to have “more tactical engagements with the role of archives”[[2]](#2) and to “reimagine the bounded nature of the monograph”[[3]](#3). It is based on Kat’s ERC funded Politics of Patents (POP) project hosted at Goldsmiths, University of London. In this research, Kat and her team use a mixed-methods approach to ambitiously explore an extensive global database of historical clothing patents that covers more than 230.000 entries over a period of 200 years. Applying quantitative, qualitative and practice research methods to large amounts of data poses the question of how such a massive archive can be navigated, sorted and made sense of while staying committed to the careful, detailed, and embodied potential meanings of wearable data from the past and for the future.
 
 Performing Patents Otherwise started as a collaboration between Kat Jungnickel and Julien McHardy, bringing together POP’s research that grappled with how to do a mixed-methods analysis of a large dataset and Julien’s interest as a publisher in how digital books might blur the boundary between scholarly texts and their source data. Together, they questioned how large amounts of material can be made available for readers without dumping the labour of sorting and sense-making on them or resorting to but one simplified account that renders the underlying complexity and diversity of the material invisible. This also addresses the relationship between qualitative texts and quantitative data, and how one renders the other, and who has the power to frame such renderings, and how-thanks to machine-assisted reading of large databases and the machine generation of human-readable texts, sounds and images, there is no longer a clear distinction in kind, of scale or otherwise, between qualitative and quantitative data.