Institutional Data + Local Data + OSM → Data Input
DIVA integrates heterogeneous data sources, including institutional datasets, local data, and OpenStreetMap (OSM), into a unified and structured data input process.
Data Integration Process
DIVA integrates institutional datasets, local data sources, and OpenStreetMap (OSM) into a unified data collection and structuring process. This approach ensures data consistency, traceability, and supports evidence-based territorial analysis.
Key Features of Our Data Collection Process
Integrazione dei dati istituzionali
Integration of institutional datasets to ensure data reliability and consistency.
Local Data Utilization
Integration of local data sources to provide context-specific and territorially relevant information.
OpenStreetMap Integration
Use of OpenStreetMap (OSM) data to enrich spatial datasets and support geospatial analysis.
Unified Data Input
Integration of heterogeneous data sources into a structured and standardized data input process.
Decision Support
Structured data supporting territorial analysis and evidence-based decision-making.
Data Scalability
Data structure designed to accommodate multiple data sources and future expansion.
Data Contribution and Integration
DIVA supports the integration of additional data sources to improve the completeness and quality of territorial analysis.