L’iniziativa OpenDataNetwork, OpenData senza confini

In the last few years, the Open Data movement has made a significant impact on the IT world by bringing the att ention to an unexploited value represented by the tremendous amount of data that was kept hidden behind the gates of the existing infrastructures, both in public administrations and in private companies. This value can be declined in many ways depending on the perspective of the observer since unprecedented possibilities to correlate different sources of data to mine hidden trends and patt erns, can all at a sudden provide innovative ways to evaluate and monitor events and real life situation. After the initial period of the widespread adoption of the Open Data principles, we are now experimenting a situation where the amount of data available as Open Data is becoming overwhelming as such the need for some kind of coordination effort between different Open Data infrastructures is needed in order to make the data easier to browse and to exploit. This is the goal of the Open Data Network initiative. The Open Data Network initiative aim at bringing together a certain number of Italian Public Administration with the goal of creating a standard infrastructure based on Open Source components suitable for the dissemination of data as Open Data. Moreover it aims at creating a network between each partner's node in order to ease the life of the end user as he will be allowed to access a central hub where all the information will be harvested, rather than having to deal with each single partner's infrastructure

Geoportale del Consorzio LaMMA Disseminazione di dati meteo in near real-time tramite standard OGC e software Open Source

This paper describes the spatial data infrastructure (SDI) used by the LaMMA Consortium - Environmental Mod elling and Monitoring Laboratory for Sustainable Developm ent of Tuscany Region for sharing, viewing and cataloguing (metadata and related information) all geospatial data that are daily proc essed and used op erationally in many meteorological and environmental app lications. The SDI was develop ed using Open Source technologies, mo reover the geospatial data has been imp lemented through protoco ls based on ogc (Open Geospatial Consortium) standards such as WMS, WFS and CSW. Geoserver was used for disseminating geospatial data and maps through OGC WMS and WFS protoco ls while GeoNetwork was used as the cataloguing and search po rtal through also the CSW protocol; eventually MapStore was used to implement the mash-up front-end. The innovative aspect of this po rtal is the fact that it currently is ingesting, fusing and disseminating geospatial data related to the MetOcfield from various sources in near real-time in a comp rehensive manner that allows users to create add ed value visualizations for the support of operational use cases as well as to access and download underlying data (where app licable)

Geoportale del Consorzio LaMMA Disseminazione di dati meteo in near real-time tramite standard OGC e software Open Source

This paper describes the spatial data infrastructure (SDI) used by the LaMMA Consortium - Environmental Mod elling and Monitoring Laboratory for Sustainable Developm ent of Tuscany Region for sharing, viewing and cataloguing (metadata and related information) all geospatial data that are daily proc essed and used op erationally in many meteorological and environmental app lications. The SDI was develop ed using Open Source technologies, mo reover the geospatial data has been imp lemented through protoco ls based on ogc (Open Geospatial Consortium) standards such as WMS, WFS and CSW. Geoserver was used for disseminating geospatial data and maps through OGC WMS and WFS protoco ls while GeoNetwork was used as the cataloguing and search po rtal through also the CSW protocol; eventually MapStore was used to implement the mash-up front-end. The innovative aspect of this po rtal is the fact that it currently is ingesting, fusing and disseminating geospatial data related to the MetOcfield from various sources in near real-time in a comp rehensive manner that allows users to create add ed value visualizations for the support of operational use cases as well as to access and download underlying data (where app licable)