Journal article
“Ethics when you least expect it”: a modular approach to short course data ethics instruction
- Abstract:
-
Data science skills are rapidly becoming a necessity in modern science. In response to this need, institutions and organizations around the world are developing research data science curricula to teach the programming and computational skills that are needed to build and maintain data infrastructures and maximize the use of available data. To date, however, few of these courses have included an explicit ethics component, and developing such components can be challenging. This paper describes ...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Authors
Bibliographic Details
- Publisher:
- Springer Verlag Publisher's website
- Journal:
- Science and Engineering Ethics Journal website
- Volume:
- 26
- Pages:
- 2189–2213
- Publication date:
- 2020-02-17
- Acceptance date:
- 2020-02-10
- DOI:
- EISSN:
-
1471-5546
- ISSN:
-
1353-3452
- Pmid:
-
32067185
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
1090357
- Local pid:
- pubs:1090357
- Deposit date:
- 2020-04-29
Terms of use
- Copyright holder:
- Bezuidenhout et al.
- Copyright date:
- 2020
- Rights statement:
- Copyright © 2020 The Author(s). This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
- Licence:
- CC Attribution (CC BY)
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