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Data Ethics Club: Creating a collaborative space to discuss data ethics

Turner, Zoe
Abstract
Awareness and management of ethical issues in data science are becoming crucial skills for data scientists. Discussion of contemporary issues in collaborative and interdisciplinary spaces is an engaging way to allow data-science work to be influenced by those with expertise in sociological fields and so improve the ability of data scientists to think critically about the ethics of their work. However, opportunities to do so are limited. Data Ethics Club is a fortnightly discussion group about data science and ethics whose community-generated resources are hosted publicly online. These include a collaborative list of materials around topics of interest and guides for leading an online data-ethics discussion group. Our meetings and resources are designed to reduce the barriers to learning, reflection, and critique on data science and ethics, with the broader aim of building ethics into the cultural fabric of quality data-science work.
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Date
2022
Type
Article
Subject
Data management, Data collection, Information services, Ethics, Computers
Citation
Di Cara, N. H., Zelenka, N., Day, H., Bennet, E. D. S., Hanschke, V., Maggio, V., Michalec, O., Radclyffe, C., Shkunov, R., Tonkin, E., et al. (2022). Data Ethics Club: Creating a collaborative space to discuss data ethics. Patterns, 3(7), pp.100537.
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Publisher’s statement
2022 The Authors. 1 This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
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