Maria Cabello
European Projects Director
TRACASA
Spain

Biography
María Cabello. Director of European Projects in TRACASA. More than 25 years’ experience in information management, 20 of them involved in Geographic Information projects either like independent consultant or Tracasa employee. PMP certification. During the last 10 years she has been in charge of European projects, representing the company in Europe and participating in different events at world-wide level. Deeply involved in INSPIRE development participating in several working groups at Regional (SITNA- Territorial Information system of Navarre), National (IDEE-Spatial Data Infrastructure of Spain), European (Pool of experts proposed for INSPIRE MIG) level and Global Level (ISO TC211- ISO 19160 Addressing)

Abstract
Utility Networks Data Conformance to INSPIRE: End User's Usefulness

End users are one of the key aspect in the success of INSPIRE implementation. They have to consider INSPIRE as part of their main activities, despite the data models or services may not completely fulfil their needs in their daily work. Utility network's information is a singular theme as usually the responsibility rest with private companies or some other organizations that “a priori" are not aware to be concerned about INSPIRE issues. The collaboration with the organization in charge of the management of the utility networks data: Water Supply network and Sewerage network, in the project GeoSmartCity will make possible to enhance the use of INSPIRE principles for the daily management of utility networks data. These data layers are actually presented as Open data in the context of SITNA (Territorial Information System of Navarre) and are available in the SDI of Navarre (IDENA) through standardized OGC services (WMS, WFS) but currently are not INSPIRE compliant. This presentation will introduce the difficulties and benefits to transform these data into INSPIRE data models and how to exploit this information to make possible their use under some different situations. Their availability through Open Linked Data Scenarios is also considered in order to provide decision makers with the necessary tools to plan the maintenance tasks more efficiently or other specific task, where by linking different information such are sensor data (from reservoir levels, storm drains, etc.), weather forecast predictions and map of risk zones from GIS and using standing SPARQL queries could be possible to carry out flood risk surveillance. The expected exploitation will reinforce the usefulness of utility network data based on INSPIRE, providing additionally new experiences on implementing INSPIRE directive.