  In this chapter, we propose a non-traditional RCR training in data science
that is grounded into a virtue theory framework. First, we delineate the
approach in more theoretical detail, by discussing how the goal of RCR training
is to foster the cultivation of certain moral abilities. We specify the nature
of these abilities: while the ideal is the cultivation of virtues, the limited
space allowed by RCR modules can only facilitate the cultivation of superficial
abilities or proto-virtues, which help students to familiarize with moral and
political issues in the data science environment. Third, we operationalize our
approach by stressing that (proto-)virtue acquisition (like skill acquisition)
occurs through the technical and social tasks of daily data science activities,
where these repetitive tasks provide the opportunities to develop
(proto-)virtue capacity and to support the development of ethically robust data
systems. Finally, we discuss a concrete example of how this approach has been
implemented. In particular, we describe how this method is applied to teach
data ethics to students participating in the CODATA-RDA Data Science Summer
Schools.
