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Digital Open Marketplace Ecosystem 4.0

Project description

Business-to-business data ecosystem

The EU-funded DOME 4.0 project aims to develop a comprehensive industrial data ecosystem that enables sharing of business-to-business data for the purpose of value generation and creation of new or enhanced products, processes and services. The project will be aligned with the Open Science and Open Innovation objectives. The DOME 4.0 ecosystem will be accessible to all providers and users of data, using ontology-driven semantic data interoperability and modern data processing technologies adopted from the fields of machine learning and artificial intelligence to facilitate maximum knowledge extraction. DOME 4.0 will focus on data-driven knowledge generation within the materials and manufacturing sectors, but the proposed ecosystem will be scalable to any sector of the economy.

Objective

The Digital Open Marketplace Ecosystem (DOME) 4.0 aims at developing a comprehensive industrial data ecosystem aligned with the Open Science and Open Innovation objectives to enable sharing of business-to-business (B2B) data for the purpose of value generation and creation of new or enhanced products, processes, and services. DOME 4.0 will be open to all providers and users of data, and aims to facilitate maximum knowledge extraction with the help of ontology-driven semantic data interoperability and modern data processing technologies adopted from the fields of Machine Learning (ML) and Artificial Intelligence (AI). These features are crucial to scale and advance the proposed ecosystem to any sector of the economy. Given the significant contribution of the materials and manufacturing sectors to the European economy, DOME 4.0 focuses on data-driven knowledge generation within these key sectors.

The project duration is four years and will focus on two parts: a) core ecosystem technology advancement with connectors to other marketplaces, data and knowledge bases; and b) demonstration of added value via nine B2B success stories covering areas such as nanomaterials, manufacturing equipment and processes, lightweight construction, etc., while dealing with data characteristics such as quantity, quality, velocity, formats, and sources. Data governance, sovereignty, provenance and adherence to FAIR principles are proposed.

True to its ethos, DOME 4.0 offers a scalable, convergence mechanism to the vast array of research and innovation activities undertaken within the Horizon 2020 programme. The project coalesces the key H2020 developments from multiple marketplace projects, open simulation platforms, open translation environments, industrial networks, data platforms, and Coordination and Support Actions in advanced materials and manufacturing. Central to DOME 4.0 is its interdisciplinary consortium with European SMEs, large industries, research institutes and academia.

Fields of science (EuroSciVoc)

CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.

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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.

RIA - Research and Innovation 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-NMBP-TO-IND-2018-2020

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Coordinator

COMPUTATIONAL MODELLING CAMBRIDGE LIMITED
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.

€ 786 037,50
Address
STATION ROAD SALISBURY HOUSE
CB1 2LA Cambridge
United Kingdom

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SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Region
East of England East Anglia Cambridgeshire CC
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Links
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.

€ 786 037,50

Participants (12)

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