Published November 20, 2016 | Version v1
Working paper Open

EDISON Data Science Framework: Part 2. Data Science Body of Knowledge (DS-BoK) Release 1

  • 1. University of Amsterdam
  • 2. Engineering, Italy
  • 3. University of Stavanger

Description

The Data Science Body of Knowledge (DS-BoK) is a part of the EDISON Data Science Framework (EDSF). The release 1 document presents first 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-DSA Data Analytics; KGA-DSDM Data Management, KGA-DSE Data Science Engineering, KGA-DSRM Research Methods; and KGA-DSBM Business Process Management. Defining the domain knowledge groups both for science and business will be a subject for further development in tight cooperation with the domain specialists.

Files

EDISON_DS-BoK-release1-v0.3.pdf

Files (2.0 MB)

Name Size Download all
md5:87047253e14513f8fdfba438530f3ea8
2.0 MB Preview Download

Additional details

Funding

EDISON – Education for Data Intensive Science to Open New science frontiers 675419
European Commission