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CORDIS

Education for Data Intensive Science to Open New science frontiers

Objective

The EDISON project will focus on activities to establish the new profession of ' Data Scientist', following the emergence of Data Science technologies (also referred to as Data Intensive or Big Data technologies) which changes the way research is done, how scientists think and how the research data are used and shared. This includes definition of the required skills, competences framework/profile, corresponding Body Of Knowledge and model curriculum. It wil develop a sustainability/business model to ensure a sustainable increase of Data Scientists, graduated from universities and trained by other professional education and training institutions in Europe.
To achieve this, EDISON will work with the major Data Science stakeholders from academic, research communities and industry, as well as with the professional community to help them to obtain proper education and training and/or formal certification for already practicing self-made Data Scientists, grown from the advanced research projects who want to build a new career in Data Science.
Consistent Data Science education and professional training requires besides theoretical knowledge access to real scientific data infrastructure and real large data sets to acquire practical experience and develop data centric thinking. For this, EDISON will leverage on EGI infrastructure and community/activities, as well as products from the APARSEN project, to create a supporting infrastructure for Data Science education and training that will include both example datasets and virtual labs which will allow the students or trainees to work with real data sets, infrastructure and tools.
EDISON will facilitate the establishment of a Data Science education and training infrastructure at major European universities by promoting experience of 'champion' universities involving them into coordinated development and implementation of the model curriculum and creation of cooperative educational and training infrastructure.

Keywords

Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)

Programme(s)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

CSA - Coordination and support action

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) H2020-INFRASUPP-2014-2015

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Coordinator

UNIVERSITEIT VAN AMSTERDAM
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 554 062,50
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 554 062,50

Participants (8)

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