Data Ethics Club: Creating a collaborative space to discuss data ethics
- PMID: 35845834
- PMCID: PMC9278501
- DOI: 10.1016/j.patter.2022.100537
Data Ethics Club: Creating a collaborative space to discuss data ethics
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.
Keywords: data ethics; interdisciplinary; journal club; open science; open source; responsible innovation.
© 2022 The Authors.
Conflict of interest statement
The authors do not declare any conflicts of interest.
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Comment in
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Responsible and accountable data science.Patterns (N Y). 2022 Nov 11;3(11):100629. doi: 10.1016/j.patter.2022.100629. eCollection 2022 Nov 11. Patterns (N Y). 2022. PMID: 36419445 Free PMC article. No abstract available.
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