Objective
The Black Sea SCENE project aims to establish a Black Sea Scientific Network of leading environmental and socio-economic research institutes, universities and NGO's from the countries around the Black Sea and to develop a virtual data and information infrastructure that will be populated and maintained by these organisations to improve the identification, access, exchange, quality indication and use of their data and information about the Black Sea.
The Black Sea SCENE research infrastructure will stimulate scientific cooperation, exchange of knowledge and expertise, and strengthen the regional capacity and performance of marine environmental data & information management, underpin harmonization with European marine data quality control/assessment procedures and adoption of international meta-data standards and data-management practices, providing improved data & information delivery services for the Black Sea region at a European level. Black Sea SCENE consists of 32 partners from all Black Sea countries, 5 EU member states and 1 Associated State.
Environmental and socio-economic scientists and technical specialists of the partners will meet regularly in Workshops to discuss and to formulate the specifications, to coordinate and tune the networking activities, to monitor and to evaluate the project progress, and to consider long term sustainability of the network and wider cooperation. Common Data Quality Control procedures will be explored and harmonized, whereby partners from EU member states will demonstrate EU practices.
Partners will compile overviews of their marine datasets and data acquisition activities using established European metadata formats. Partners will assess the quality of their datasets and include Data Quality indicators in the metadata. A virtual data and information infrastructure will be implemented to facilitate the access to metadata and datasets.
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 political sciences political policies civil society civil society organisations nongovernmental organizations
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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.
FP6-2004-INFRASTRUCTURES-5
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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.
IA-CA - Integrating activities implemented as Coordination Actions
Coordinator
LEIDSCHENDAM
Netherlands
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Participants (30)
BRUXELLES
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WARSZAWA
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173 KJELSAAS OSLO
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6000 DELFT
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NEWBURY
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ODESSA
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SEVASTOPOL
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KHARKIV
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ODESSA
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MOSCOW
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MOSCOW
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C851 MOSCOW
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ST PETERSBURG
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MOSCOW
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OBNINSK
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ANKARA
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SINOP
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TRABZON
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152 VARNA
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VARNA
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VARNA
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CONSTANTA
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BUCURESTI
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TBILISI
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TBILISI
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TBILISI
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TBILISI
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VARNA
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SEVASTOPOL
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712 ANAVISSOS
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