EDISON Data Science Framework (EDSF): Extension to address
Transversal Skills required by Emerging Digital Transformation
Digital Transformation of Science and Industry: Impact on Skills DemandIndustry 4.0 and Digital Transformation
Digital Competences and Skills

Digital Transformation• Digitation and IoT• Digitalisation of Processes ,Digital Twins• Optimisation and Simulation• Intelligent Information andKnowledge Management• Data Management Maturity• Digital Assets Manage• Agile Data Driven
Organisational Model• Customer Experience• People and skills

Big Data

Additive
Manufacturing• Information and data literacy• Managing data, information,knowledge• Digital content creation,
programming• Digital security and safety• Communication and collaboration• Problem solving and critical thinking

SystemIntegration

Internet ofThings

Digital competence and skills aretransversal: Their effect spans from direct
professional activity at all levels to moregeneral attitude and entrepreneurship skills.
Multiple competence and skills groups
should be targeted by (continuous)
education and training

Data Analytics and Processes digitalisation are driving Industry 4.0
21st Century or Workplace Skills

Data Management and Governance (DMG)

Top Skills for Future Data Driven Industry and Research

General Data Management and Governance (ref toDAMA-BoK)

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Complex Problem Solving
Critical Thinking; Creativity and Innovation
Design, System Thinking
Cognitive flexibility, Cross-Disciplinary Ability
Judgment and decision making
Coordinating with Others, Negotiation
Emotional Intelligence; People Management
Service Orientation, Customer focus
Global Perspective
Working with tools and technologies
Dynamic (self-) re-skilling
Professional networking
Ethics and professional code of conduct

Digital Competences and Data Literacy• The Digital Competences for Citizens (DigComp 2.1, 2017)• Important part of digital competences is understanding
the role of data and processes related to data handling• In modern data centric applications• Social media• Industrial processes• Research• New challenge: How data are used in AI based decision
making and Digital Twin process control• Special training and skills development must be focusedon data processing and management issues• Introduction. Big Data Infrastructure and Data Management andGovernance.
• Data Management concepts. Data management frameworks:
DAMA Data Management framework, the Amsterdam Information
Model. Extensions for Big Data and Data Science.
• Enterprise Data Architecture. Data Lifecycle Management andService Delivery Model. Data management and data governanceactivities and roles.
• Data Science Professional profiles and organisational roles, Skills
management and capacity building.
• Data Architecture, Data Modelling. Data types and data models.
Data modeling. Metadata. SQL and NoSQL databases overview.
Distributed systems: CAP theorem, ACID and BASE properties.
• Enterprise Big Data infrastructure and integration with enterprise IT
infrastructure. Data Warehouses. Distributed file systems and datastorage.
• Big Data storage and platforms. Cloud based data storage services:
data object storage, data blob storage, Data Lakes (services byAWS, Azure, GCP). Trusted storage, blockchain enabled dataprovenance.
• Big Data Security and Compliance. Data security and dataprotection. Security of outsourced data storage.

Research Data Management and Stewardship• FAIR principles in Research Data Management, supporting tools,
maturity model and compliance, GO FAIR, GO TRAIN initiatives• Data Stewardship and organisational data management.
Responsibilities and competences• Open Science and Open Data (Definition, Standards, Open Data use
and reuse, open government data). Research data and open access.
• Repository and self-archiving services• RDA products and recommendations: PID, data types, data typeregistries, others. ORCID identifier for data and authors• Responsible Data Use (Citation, Copyright, Data Restrictions)• Open Data services: ORCID.org, Altmetric Doughnut, Zenodo

www.projectmates.eu
Co-funded by the Erasmus+
Programme of the European Union

Contact: Yuri Demchenko <y.demchenko@uva.nl>