EVALUATION of EDISON'S DATA SCIENCE COMPETENCY FRAMEWORK THROUGH A COMPARATIVE LITERATURE ANALYSIS

Abstract

During the emergence of Data Science as a distinct discipline, dis cussions of what exactly constitutes Data Science have been a source of contention, with no clear resolution. These disagreements have been exacerbated by the lack of a clear single disciplinary parent.' Many early efforts at dening curricula and courses exist, with the EDISON Project's Data Science Frame-work (EDISON-DSF) from the European Union being the most complete. The EDISON-DSF includes both a Data Science Body of Knowledge (DS-BoK) and Competency Framework (CF-DS). This paper takes a critical look at how EDISON's CF-DS compares to recent work and other published curricular or course materials. We identify areas of strong agreement and disagreement with the framework. Results from the literature analysis provide strong insights into what topics the broader community see as belonging in (or not in) Data Science, both at curricular and course levels. This analysis can provide important guidance for groups working to formalize the discipline and any college or university looking to build their own undergraduate Data Science degree or programs.