"Ethics When You Least Expect It": A Modular Approach to Short Course Data Ethics Instruction.
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 infrastructure...
| Publicado en: | Science & Engineering Ethics Vol. 26; no. 4; pp. 2189 - 2214 |
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| Autores principales: | , , |
| Formato: | Artículo |
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Springer Nature
Aug2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=145047220&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 145047220 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 13533452 GNI jtl: Science & Engineering Ethics issn: 13533452 maglogo: N pubinfo: dt: Aug2020 vid: 26 iid: 4 pid: 237 pub: Springer Nature artinfo: ui: 145047220 10.1007/s11948-020-00197-2 ppf: 2189 ppct: 25 formats: fmt: – @attributes: type: T – @attributes: type: P size: 1020KB tig: atl: "Ethics When You Least Expect It": A Modular Approach to Short Course Data Ethics Instruction. aug: au: Bezuidenhout, Louise Quick, Robert Shanahan, Hugh affil: Institute for Science, Innovation and Society, University of Oxford, Oxford, UK High Throughput Computing, Indiana University, Bloomington, IN, USA Department of Computer Science, Royal Holloway, University of London, London, UK su: Virtue ethics Ethics Data science Home environment Multilevel models Teaching sug: subj: Virtue ethics Ethics Data science Home environment Multilevel models Teaching keyword: CODATA Data ethics Open Science RDA ab: 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 a novel approach to teaching data ethics on short courses developed for the CODATA-RDA Schools for Research Data Science. The ethics content of these schools is centred on the concept of open and responsible (data) science citizenship that draws on virtue ethics to promote ethics of practice. Despite having little formal teaching time, this concept of citizenship is made central to the course by distributing ethics content across technical modules. Ethics instruction consists of a wide range of techniques, including stand-alone lectures, group discussions and mini-exercises linked to technical modules. This multi-level approach enables students to develop an understanding both of "responsible and open (data) science citizenship", and of how such responsibilities are implemented in daily research practices within their home environment. This approach successfully locates ethics within daily data science practice, and allows students to see how small actions build into larger ethical concerns. This emphasises that ethics are not something "removed from daily research" or the remit of data generators/end users, but rather are a vital concern for all data scientists. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Science & Engineering Ethics is a copyright of Springer, 2020. All Rights Reserved. item: Science & Engineering Ethics holder: Springer Nature dt: @attributes: year: 2020 holdings: @attributes: islocal: N |
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