EDISON Data Science Framework: Part 5. EDSF Use Cases and Applications (EDSF-UCA) Release 4
Creators: name: Demchenko, Yuri
name: Wiktorski, Tomasz
name: Cuadrado Gallego Juan José
name: Degeler, Viktoriya
Publisher: name: Zenodo
Year: 2022
Subjects: EDSF Use Cases and Applications (EDSF-UCA)
EDISON Data Science Framework (EDSF)
Data Science
Data Scientist Professional
Data Science Curriculum Design

description: This document EDSF Use cases and applications (EDSF-UCA) includes the following use cases of using EDSF in curriculum design, skills management, and workplace alignment for new technology/digital transformation:<br> * Definition of the Data Stewardship Professional Competence Framework (DSP-CF) by the FAIRsFAIR project;<br> * Use of EDSF for CV assessment and job profiles matching;<br> * Customised curriculum design based EDSF ontology research for selected job profiles;<br> * Designing customised Data Science Education Environment;<br> * Big Data Infrastructure Technologies and Tools for Data Analytics course design and teaching experience<br> * Education and training on Research Data Management for research institutions and Enterprise Data Management for industry and business;<br> * Transversal and 21st Century skills for data driven economy and Industry 4.0;<br> * Digital and data competences definition and training profiles<br> <br> The EDSF Part 5 Use cases and applications is intended to collect known use cases by the authors and other projects and practitioners that can be used as examples and guidelines for practical use by universities, training organisations, data management and data steward team to define their Data Science curricula and courses selection, on the one hand, and for companies to better define a set of required competences and skills for their specific industry domains in their search for Data Science and related talents, on the other hand.<br> <br> The EDISON Data Science Framework (EDSF) includes the following main components: Data Science Competence Framework (CF-DS), Data Science Body of Knowledge (DS-BoK), Data Science Model Curriculum (MC-DS), Data Science Professional Profiles (DSPP), which are extended with new Part 5. EDSF Use cases and applications (EDSF-UCA). The EDSF provides a conceptual basis for the Data Science Profession definition, targeted education and training, professional certification, organizational capacity building, and organisation and individual skills management and career transferability.<br> <br> The initial definition of the EDISON Data Science Framework (EDSF) was done in the Horizon2020 Project EDISON (Grant 675419) that produced Release 1 in 2016 and published Release 2 in 2017. Currently, EDSF is maintained by the EDISON Community initiative that is coordinated by the University of Amsterdam. The new EDSF Release 4 is the product of the wide community of academicians, researchers and practitioners that are practically involved in Data Science and Data Analytics education and training, competences and skills management in organisations, and standardisation in the area of competences, skills, occupations and digital technologies. In particular, the current release incorporates revisions to competences proposed during the Data Stewardship Professional Competence Framework (CF-DSP) definition by the FAIRsFAIR project (Grant 831558).<br> <br> The EDSF documents are available for public discussion at the EDISON Community initiative at https://github.com/EDISONcommunity/EDSF/wiki/EDSFhome