ENVRI is an FP7 EU project specifically conceived to provide a cluster of Environmental Research Infrastructures (EISCAT 3D, EMSO, EPOS, Euro-Argo, ICOS, and LifeWatch) with a collaborative framework to develop common components and services. The ENVRI services contribute to realise a Spatial Data Infrastructure offering facilities to publish, discover, access, visualize, and process large geospatial datasets. State-ofthe- art technologies and standards have been largely used, including OGC CSW, WCS, WPS, WMS. For the data discovery and access, the results of the GENESI-DEC project have been reused and enhanced to realise an approach for easily discovering geospatial data across a federation of distributed catalogues. For geospatial data processing and visualisation, a number of components have been developed by relying on the gCube open source technology, a comprehensive software system supporting the creation and management of an HDI. In particular, a service supporting data analytics has been developed to offer a rich yet open set of algorithms to process geospatial data. All these components have been integrated in a dedicated Virtual Research Environment, a web-based environment aggregating the services. ESFRI RIs can exploit the set of components according to three exploitation models: . Software as a Service; . Platform as a Service; . Open Source. The two as a Service models are for free to the ENVRI partners via the D4Science Infrastructure and the GENESI-DEC. The benefits are evident, the management is outsources to expert operators that can leverage economies of scale and use elastic approaches to scale.
Realizing spatial data infrastructure solutions in ENVRI
Candela L;Coro G;Pagano P
2014
Abstract
ENVRI is an FP7 EU project specifically conceived to provide a cluster of Environmental Research Infrastructures (EISCAT 3D, EMSO, EPOS, Euro-Argo, ICOS, and LifeWatch) with a collaborative framework to develop common components and services. The ENVRI services contribute to realise a Spatial Data Infrastructure offering facilities to publish, discover, access, visualize, and process large geospatial datasets. State-ofthe- art technologies and standards have been largely used, including OGC CSW, WCS, WPS, WMS. For the data discovery and access, the results of the GENESI-DEC project have been reused and enhanced to realise an approach for easily discovering geospatial data across a federation of distributed catalogues. For geospatial data processing and visualisation, a number of components have been developed by relying on the gCube open source technology, a comprehensive software system supporting the creation and management of an HDI. In particular, a service supporting data analytics has been developed to offer a rich yet open set of algorithms to process geospatial data. All these components have been integrated in a dedicated Virtual Research Environment, a web-based environment aggregating the services. ESFRI RIs can exploit the set of components according to three exploitation models: . Software as a Service; . Platform as a Service; . Open Source. The two as a Service models are for free to the ENVRI partners via the D4Science Infrastructure and the GENESI-DEC. The benefits are evident, the management is outsources to expert operators that can leverage economies of scale and use elastic approaches to scale.File | Dimensione | Formato | |
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