The new Spatial Data Infrastructure of the Veneto Region (IDT-RV 2.0) has been completely redesigned to move from the older structure, based on commercial products, to state of the art FOSS4G software, providing methods to simplify data publication.
Operational innovations introduced by the new infrastructure include:
• Provision of tools for the interactive creation of WebGIS sites, without any code development, to be quickly shared on demand;
• Complete management of the data lifecycle and related metadata, from acquisition to production, atomically monitored through a step-by-step workflow;
• Creation of metadata through an interactive web editor, according to the defined normative rules, capable of supporting the user from the input of the values through template, to the final validation.
Particular focus will be put on critical issues and challenges that where solved.

PULSE (Participatory Urban Living for Sustainable Environment) is an EU-financed project that aims to develop a set of models and technologies to predict and manage public health problems in cities and promote health. It follows a participatory approach where citizen provide data through personal devices, that are integrated with information from heterogeneous sources: open city data, health systems, urban sensors and satellites. The project deals with various issues concerning air quality, lifestyle and personal behavior and it aims to investigate the correlations between the exposure to atmospheric pollutants, the citizen habits and the health of the citizen themselves, focusing on Asthma and T2 diabetes.PULSE is being implemented in 5 major cities.
The presentation will concentrate on the key geospatial aspects of the platform, implemented using FOSS, highlighting issues and challenges. It will describe the most relevant components, such as satellite data processing, deployment of sensors, management of acquired spatial data, WebGIS and Dashboard tools to provide spatiotemporal visualization and analysis, the integration of models, the definition of relevant index to connect epidemiologic data with spatiotemporal representation