Making data science practices explicit in data investigation process: a framework to guide reasoning about data

Abstract

We propose a six-phase framework that identifies key practices, processes and dispositions of investigating data, building on the work of statistics education to include data science. We share overarching dispositions and considerations for a data investigator and unpack key considerations to frame “ways of thinking” about the practices and processes in three of the six phases.