This article is part of the Global Perspectives, Media and Communication special issue on “Media, Migration, and Nationalism,” guest-edited by Koen Leurs and Tomohisa Hirata. In line with the focus of this issue, we are interested in the ways in which open data is progressively used to construct indicators of the state’s performance in the form of race-ethnic categories. These data initiatives are typical for the ongoing quantification and datafication of society. Through APIs (application programming interfaces), both governmental bodies and third parties are given direct access to data, as well as the ways in which these data are structured. This infrastructure affords the appropriation of statistics concerning the national origins of Dutch citizens for new purposes. Through this data, race-ethnic categories are repurposed to measure the living conditions in the Netherlands, effectively keeping people with non-Dutch roots in the migrant category for up to three generations. To show how this process unfolds in the Netherlands, we investigate two web applications, the Allochtonenmeter and the Leefbaarometer, that make use of race-ethnically constructed data. We will argue that for a more complete understanding of the processes at play in the Dutch “data assemblage,” we need to enrich critical data studies with a postcolonial perspective. In this article, we consider race to be a verb rather than a noun, signifying a process or an action, as this takes away the necessity to communicate a nonessentialist perspective on what is raced, since the object of racing can be different in each new location, situation, and technical context. Our focus is therefore on how human characteristics such as nationality, ethnicity, or class are raced through data-driven processes and in relation to a particular history and culture in the Dutch context. In this light, we find that datafied systems do not merely report on particular groups in society but rather actively produce hierarchical distinctions between these groups.
Skip Nav Destination
Article navigation
Research Article|
June 26 2020
Racing through the Dutch Governmental Data Assemblage: A Postcolonial Data Studies Approach
Gerwin van Schie,
1
Institute for Cultural Inquiry (ICON), Utrecht University, Utrecht, The Netherlands
Search for other works by this author on:
Alex Smit,
Alex Smit
2
Department of Media and Culture Studies, Utrecht University, Utrecht, The Netherlands
Search for other works by this author on:
Nicolás López Coombs
Nicolás López Coombs
3
Independent researcher, Brisbane, Australia
Search for other works by this author on:
Global Perspectives (2020) 1 (1): 12779.
Citation
Gerwin van Schie, Alex Smit, Nicolás López Coombs; Racing through the Dutch Governmental Data Assemblage: A Postcolonial Data Studies Approach. Global Perspectives 11 May 2020; 1 (1): 12779. doi: https://doi.org/10.1525/gp.2020.12779
Download citation file:
Sign in
Don't already have an account? Register
Client Account
You could not be signed in. Please check your email address / username and password and try again.
Could not validate captcha. Please try again.