EDISON Data Science Framework: Release 2 Published
In July 2017, the EDISON project published: EDISON Data Science Framework (EDSF) Release 2.
EDISON is a 2-year project (started September 2015) with the purpose of accelerating the creation of the Data Science profession.
EDSF is a comprehensive documents set that provide a basis for the definition of the Data Science profession in general and its organisational profiles. EDSFrelease2 includes the following components:
- Data Science Competence Framework (CF-DS),
- Data Science Body of Knowledge (DS-BoK),
- Data Science Model Curriculum (MC-DS), and
- Data Science Professional Profiles (DSPP).
EDSF provides a conceptual basis for the Data Science profession definition, targeted education and training, professional certification, organizational and individual skills management and career transferability.
The new release has incorporated multiple contributions received from the EDISON Liaison Group (ELG), champion universities and wide expert community. The EDSF development has been enriched by the cooperation with the APEC project DARE (Data Analytics Rise Employment), with mutual contributions to CF-DS and the DARE Recommended DSA Competences definitions.
The following developments took place since Release 1 and currently are available in the EDSF Release 2:
CF-DS – All competences, skills and knowledge topics are enumerated; Data Science Analytics competences defined in the e-CF3.0 format; added definition of the Data Science workplace (soft) skills and 21st century skills
DSPP – Data Science Professional Profiles definition revised; added section on Data Science and Analytics enabled professions.
DS-BoK – Added full list of Knowledge Areas and Knowledge Units and their mapping to CCS2012 and existing BoKs
MC-DS – Learning Units are re-defined according to the updated DS-BoK; suggested courses are defined for two groups: Data Science Analytics and KAG1-DSDA, and Data Science Engineering KAG2-DSENG
The current EDSF Release 2 is ready for practical use and implementation in Data Science education and training, career development and organisational skills management.
The documents present fully enumerated competences, skills and knowledge units that can provide a basis for developing APIs and applications for competence benchmarking, job profiles definition, and individual training profile development.
The project consortium will continue ESDF maintenance and update based on the practitioners and community feedback.
Acknowledgement
The EDISON project is supported under H20202 Grant Agreement n. 675419 by the European Commission.
Additional information
EDISON Data Science Framework to define the Data Science Profession, KDNuggets post, October 2016
Final EDISON workshop “EOSC and RI: From infrastructure to skills for insight and value” will be held on 29 August 2017. The purpose is to discuss the future EDSF development, use and sustainability for European Research Infrastructure and European Open Science Cloud (EOSC). To REGISTER