Detalhes bibliográficos
| Resumo: | The WindScanner e-Science platform architecture and the underlying premises are discussed. It is a collaborative platform that will provide a repository for experimental data and metadata. Additional data processing capabilities will be incorporated thus enabling in-situ data processing. Every resource in the platform is identified by a Uniform Resource Identifier (URI), enabling an unequivocally identification of the field(s) campaign(s) data sets and metadata associated with the data set or experience. This feature will allow the validation of field experiment results and conclusions as all managed resources will be linked. A centralised node (Hub) will aggregate the contributions of 6 to 8 local nodes from EC countries and will manage the access of 3 types of users: data-curator, data provider and researcher. This architecture was designed to ensure consistent and efficient research data access and preservation, and exploitation of new research opportunities provided by having this “Collaborative Data Infrastructure”. The prototype platform—WindS@UP—enables the usage of the platform by humans via a Web interface or by machines using an internal API (Application Programming Interface). Future work will improve the vocabulary (“application profile”) used to describe the resources managed by the platform. |
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| Autores principais: | Gomes, Filipe |
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| Outros Autores: | Lopes, João; Palma, José; personRibeiro, Luís Frölén |
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| Assunto: | E-science Windscanner Wind energy |
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| Ano: | 2014 |
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| País: | Portugal |
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| Tipo de documento: | comunicação em conferência |
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| Tipo de acesso: | acesso aberto |
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| Instituição associada: | Universidade Politécnica de Bragança |
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| Idioma: | inglês |
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| Origem: | Biblioteca Digital da UPB |
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