Working paper Open Access

EDISON Data Science Framework: Part 2. Data Science Body of Knowledge (DS-BoK) Release 2

Yuri Demchenko; Andrea Manieri; Tomasz Wiktorski; Adam Bellowum

The Data Science Body of Knowledge (DS-BoK) is a part of the EDISON Data Science Framework (EDSF). The release 2 document presents ful working version of  the Data Science Body of Knowledge (DS-BoK) definition that is linked to and based on the Data Science Competence Framework (CF-DS) described in another document. The presented DS-BoK definition is based on overview and analysis of existing bodies of knowledge that are relevant to intended frameworks for Data Science and required to fulfill identified in CF-DS competences and skills. The definition of the Data Science Body of Knowledge provides a basis for defining the Data Science Model Curriculum and further for the Data Science professional certification.

The presented DS-BoK defines six groups of knowledge areas groups (KGA) that are linked to the identified competence groups: KGA-DSDA Data Analytics; KGA-DSENG Data Science Engineering, KGA-DSDM Data Management, KGA-DSRPM Research Methods and Project Management; and KGA-DSBA Business Analytics. Defining the domain knowledge groups both for science and business will be a subject for further development in tight cooperation with the domain specialists. For each KGA, a set of Knowledge Areas (KA) and Knowledge Units (KU) are defined.

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