Objective
Development of industrial and large-scale products and services poses complex problems. This complexity is handled by breaking out the functionality or properties of the products so that they can be dealt with in individual disciplines. The processes used to develop these products and services are themselves complex. They typically involve a large number of independent organisational entities at different locations grouped in partnerships and supply chains. Grid is connectivity plus interoperability and is a major contributor to improved collaboration and an enabler of virtual organisations. It has the potential to reduce substantially the complexity of the development process, thereby improving our ability to deal with product complexity. The heart of the issue is data. Applications, and their associated computing power, are central to the product development process. The data they generate (geometric descriptions, performance metrics, etc.) constitute the core intellectual property associated with the product. Grid technology is needed to help us connect diverse data-sources, to enable flexible, secure and sophisticated levels of collaboration and make possible the use of powerful knowledge discovery techniques. The ambitious objectives of SimDat are to accelerate the uptake of existing Grid techniques and architectures ina variety of industries and services, provide standardised solutions for some of the missing capability, and tovalidate the effectiveness of Grid in simplifying processes used for the solution of complex, data-centric problems. The consortium is comprised of leading software and process system developers, Grid technology specialists and representatives from strategic European industrial sectors: automotive, pharmaceutical and aerospace. The outputs will be deployed and validated in these sectors and in service applications, here represented by meteorology.
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.
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.
- natural sciences earth and related environmental sciences atmospheric sciences meteorology
- natural sciences computer and information sciences software
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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.
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.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
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.
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.
Coordinator
54754 Sankt Augustin
Germany
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Participants (24)
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BS34 7QW Bristol
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63067 Offenbach am Main
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92152 SURESNES
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SG1 2NY Stevenage, Hetfordshire
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SO21 2JN Winchester, Hampshire
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78284
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50321 Bruehl
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81829 München
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53757 St. Augustin
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63303 Dreieich-Sprendlingen
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78288 GUYANCOURT
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SO16 7NP Southampton
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B 6041 Gosselies
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76128 Karlsruhe
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