Smart Cities
Smart cities face significant data challenges as they invest in digital technology to improve services and infrastructure. Upgrading old infrastructure is costly, and data from sensors, cameras, and IoT devices make data storage, analysis, and integration complex. Traditional databases struggle to meet the needs of connected urban environments, causing delays and errors due to manual processes, which can result in incorrect information being shared with citizens. Smart cities need to address key challenges such as integrating vast amounts of data from diverse systems, real-time ETL (extract, transform, load), and data enrichment for correction and correlation. They also require data processing with zero downtime, which is crucial for real-time data monitoring.
EU-funded initiatives such as the European Data Space for Smart Communities (DS4SSCC-DEP) have developed a multi-stakeholder data governance blueprint. This initiative creates a cross-sectoral data space for governments and their providers, enabling interoperability to improve service delivery to citizens.
The iSHARE Trust Framework supports initiatives like the Dutch Metropolitan Innovations (DMI) Ecosystem by defining data access rights among stakeholders and promoting smart, green, and sustainable urbanisation. Similarly, initiatives like the Digitaal Stelsel Gebouwde Omgeving (DSGO) address challenges in the built environment with the iSHARE Trust Framework for identity verification and access control, improving data exchanges within the sector.