In this position paper, we discuss our prior and current work on data science work practices and how these might be supported by ubiquitous analytics tools. We argue collaborative tools might reduce risks of false conclusions based on ill-conceived understandings of data sets. Aiming to study this area, we outline research questions within these topics.
Cite as
Knudsen, Søren,
and Sheelagh Carpendale.
"Data Science Work Practices from a Ubiquitous Analytics Perspective."
In ACM CHI Workshop on Human-Centered Study of Data Science Work Practices
(2019)