The reading provides an effective complement to the articles by Christine P. Chai and Alice Macfarlane, also included in the Data Advocacy Toolkit.
Date: 2020-03
Author: Catherine D'Ignazio and Lauren Klein
Source: https://data-feminism.mitpress.mit.edu/pub/2wu7aft8#strangers-in-the-dataset
License: CC BY 4.0
Domain: Processing Data
Subdomain: Preparing Data
Type of Resource: Reading
This section from chapter five of D’Ignazio and Klein’s Data Feminism takes a critical look at the metaphor of “cleaning” data, assesses the implications of thinking about data in this way, and challenges readers to think more deeply about the assumptions that guide data the data gathering and preparation process.
Keywords: data analysis justice representation data cleaning
MLA Citation: D'Ignazio, Catherine, and Lauren Klein. ‘Unicorns, Janitors, Ninjas, Wizards, and Rock Stars.’ Data Feminism, MIT Press, 16 Mar. 2020, data-feminism.mitpress.mit.edu/pub/2wu7aft8#strangers-in-the-dataset. Accessed 31 July 2024.
The reading provides an effective complement to the articles by Christine P. Chai and Alice Macfarlane, also included in the Data Advocacy Toolkit.