EDISON Project: Coordination and cooperation to establish new profession ofData Scientist for European Research and Industry
EDISON – Education for Data Intensive Science to OpenNew science frontiers

EDISON Data Science Competence Areas
Data Science Competences
includes 5 areas/groups

EDISON is a 24-month project, established in September 2015, with the purposeof accelerating the process of establishing the profession of Data Scientist. This
will be achieved by coordinating the vision and activities of the stakeholders
who will contribute to and benefit from Data Science as a professional practice.

• Data Analytics• Data Science Engineering• Domain Expertise• Data Management• Scientific Methods (or BusinessProcess Management)

EDISON Objectives
Objective 1: Promote the creation of Data Scientists curricula by an increasing
number of universities and professional training organisations.
The Data Science Competence Framework (CF-DS) including Taxonomy ofcompetences and skills, compliant with e-CF3.0.
The Body of Knowledge (BoK) for the Data Science (DS-BoK) that will map requiredcompetencies/skills and existing academic, research and technology disciplines
A Model Curriculum for Data Science (MC-DS) as a template for building
customisable Data Science curricula based on the proposed CF-DS and DS-BoK.

Scientific Method Stages• Design Experiment• Collect Data
• Analyse Data
• Identify Patterns• Hypothesise Explanation• Test Hypothesis

Objective 2: Provide conditions and environment for re-skilling and certifying
Data Scientists expertise to graduates, practitioners and researchers
throughout their careers.
Create EDISON Online Education Environment (EOEE) powered by Education andTraining Marketplace (ETMp) leveraging EGI Engage Training Marketplace.

Objective 3: Develop a sustainable business model and a roadmap forEuropean education and training on Data Science technologies, provide a basis
for the formal recognition of the Data Scientist as a new profession.
Create Community of practice for sustainable Data Science education and training
supported by EDISON Liaison Group(s).

EDISON methodology, inputs and work packages

Data Science and Data Scientist Professional (DSP) definition
Definition by NIST Big Data WG (2014-2015)
A Data Scientist is a practitioner who has sufficient knowledge in the overlapping
regimes of expertise in business needs, domain knowledge, analytical skills, andprogramming and systems engineering expertise to manage the end-to-end scientificmethod process through each stage in the big data lifecycle.

EDISON Data Science Competence Framework and e-CF3.0
EDISON Competence Framework for Data Science (CF-DS) is built in compliance with the European
e-Competence framework for ICT (e-CFv3.0 - 2015) and European ICT Profiles CWA 16458 (2012)• Linking scientific research lifecycle, organizational roles, competences, skills and knowledge• Provides a basis for defining Data Science Body of Knowledge (DS-BoK)• Mapping CF-DS and DS-BoK to Data Science Model Curriculum (MC-DS) and academic disciplines
e-CFv3.0 is widely accepted by European industry: Multiple use of e-CFv3.0 within ICT organisations• Provides basis for job profile definition, individual career path, competence assessment, training andcertification

Mapping between CWA ICT profiles and e-CF3.0 Competence Areas
E-CF3.0 includes 4 dimensions• Competence areas (related toorganizational workflow)
A. PlanB. Build
C. Deploy
D. RunE. Manage

EDISON Community Oriented Activities and Future Events• Competences (total defined 40)• Proficiency level• Skills and Knowledge (linked toacademic disciplines andcertificates/degree)

EDISON is planning a serial of workshops and other events to meet community, presentresults and obtain feedback• EDISON Workshop on Data Infrastructure Competences and Skills Framework: a Europeanand Global Challenge, 9 February 2016, Brussels• EDISON, CODATA, RDA Workshop on Developing Curricula for ‘Research Data Science’ TrainingCourses, as part of The 11th International Digital Curation Conference (IDCC16) - 22 - 25February 2016, Amsterdam• Invited Session "Data Science Skills for Space Research and Industry“ at 2016 ESA Conference
Big Data in Space (BiDS’16), 15-17 March 2016, Gran Canaria• RDA Interest Group on Education and Training for Research Data Handling (IG-ETRD) is theEDISON RDA community liaison venue• EDISON community engagement workshops – Planned for Summer 2016, Winter andSummer 2017

CWA 16458 (2012) includes 23
ICT profiles under 6 profile
families

Suggested EDISON extension to e-CF3.0 includes 15
additional Data Science related competences that arelinked to currently defined competences

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Business Management
Technical Management
DesignDevelopment
Service and Operation
SupportFor more information refer toAcknowledgement
EDISON project is supported by the Horizon 2020 Programme
Grant number 675419 (INFRASUPP-4-2015: CSA).

EDISON website - http://www.edison-project.eu/
EDISON FAQ: http://www.edison-project.eu/frequently-asked-questions
EDISON Channel @Digital4EU: https://ec.europa.eu/futurium/en/content/how-should-webuild-data-scientist-profession

Contact: Yuri Demchenko <y.demchenko@uva.nl>
Steve Brewer <S.Brewer@soton.ac.uk>