Objective
MIRRI will be a pan-European distributed RI providing microbiological services, thus facilitating access to high quality microorganisms, their derivatives and associated data for research, development and application. It will connect resource holders with researchers and policy makers to deliver the resources and services more effectively and efficiently to meet the needs of innovation in biotechnology. The RI builds upon 60 microbial domain resource centres (BRCs) in 26 European countries; collectively they provide access to more than 350,000 strains of microorganisms.
Microorganisms provide essential raw material for biotechnology - but to date less than 1% of the estimated number of species are described and available to be harnessed by man. As new species are discovered, expertise is difficult to locate to ensure correct identification. Public sequence databases provide modern tools for identification but the information is often of poor quality and often not backed up by the biological material to enable validation of data. The current fragmented resource distributed across Europe needs to be coordinated and operated to common standards with facilitating policy to help focus activities to the big challenges in healthcare, food security, poverty alleviation and climate change.
Lacking infrastructure, policy framework and governance structures will be defined in the preparatory phase, as will be the links to researchers and policy makers. Specialist clusters will address priority issues and output steering. BRCs should be placed on national road maps, ensuring the pan-European strategy can be implemented. Cross discipline interactions with other RIs will lead to new approaches. Linking the microbial strain information to other relevant data will allow their full exploitation. Appropriate data mining solutions will enable focussing acquisition and delivery strategies, thus bridging current gaps and improving user access.
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: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- social sciences sociology governance
- natural sciences computer and information sciences data science data mining
- medical and health sciences health sciences nutrition
- natural sciences earth and related environmental sciences atmospheric sciences climatology climatic changes
- natural sciences biological sciences microbiology
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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.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP7-INFRASTRUCTURES-2012-1-RTD
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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
38124 Braunschweig
Germany
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Participants (15)
OX10 8DE WALLINGFORD
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75724 Paris
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1000 BRUSSELS
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1011 JV AMSTERDAM
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405 30 Goeteborg
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46010 Valencia
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9000 GENT
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75007 PARIS CEDEX 07
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28725 Bremen
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4704 553 Braga
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10124 TORINO
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28006 MADRID
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142290 PUSHCHINO
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02 532 WARSZAWA
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16132 Genova
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