Realizing spatial data infrastructure solutions in ENVRI

• Main Authors: Candela, Leonardo, Coro, Gianpaolo, Cossu, Roberto, Pagano, Pasquale
• Format: Conference Object
• Language: English
• Published: 2014
• Subjects: Data infrastructures; ENVRI Project; Virtual research environments; info:eu-repo/classification/acm/H.3.7 Digital Libraries; EISCAT
• Online Access: http://puma.isti.cnr.it/dfdownloadnew.php?ident=cnr.isti/cnr.isti/2014-A3-005; http://puma.isti.cnr.it/rmydownload.php?filename=cnr.isti/cnr.isti/2014-A3-005/2014-A3-005.pdf

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.