“Bettering Data”: The Role of Everyday Language and Visualization in Critical Novice Data Work

Informed by critical data literacy efforts to promote social justice, this paper uses qualitative methods and data collected during two years of workplace ethnography to characterize the notion of critical novice data work. Specifically, we analyze everyday language used by novice data workers at Da...

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Bibliographic Details
Main Authors: Ben Rydal Shapiro, Amanda Meng, Annabel Rothschild, Sierra Gilliam, Cicely Garrett, Carl DiSalvo, Betsy DiSalvo
Format: Article
Language:English
Published: International Forum of Educational Technology & Society 2022-10-01
Series:Educational Technology & Society
Subjects:
Online Access:https://www.j-ets.net/collection/published-issues/25_4#h.xq3nagtf6kg0
Description
Summary:Informed by critical data literacy efforts to promote social justice, this paper uses qualitative methods and data collected during two years of workplace ethnography to characterize the notion of critical novice data work. Specifically, we analyze everyday language used by novice data workers at DataWorks, an organization that trains and employs historically excluded populations to work with community data sets. We also characterize challenges faced by these workers in both cleaning and being critical of data during a project focused on police-community relations. Finally, we highlight novel approaches to visualizing data the workers developed during this project, derived from data cleaning and everyday experience. Findings and discussion highlight the generative power of everyday language and visualization for critical novice data work, as well as challenges and opportunities to foster critical data literacy with novice data workers in the workplace.
ISSN:1176-3647
1436-4522