Analysis of potential for utilizing open source data in developing the geospatial database for territorial communities

The research addresses pressing issue of providing Ukrainian territorial communities with reliable geospatial information amid active digital transformation. This scientific work is driven by contemporary decentralization challenges and the need to integrate diverse data types for effective territorial management. The primary research challenge lies in the lack of reliable methodology and verified information for establishing the geospatial database. The study aims to develop the structured system for searching, classifying, and analyzing open geospatial data sources, considering modern requirements for information relevance, accuracy, and accessibility. Given the versatility of geoinformation technologies, the research methodology includes the comprehensive analysis of various sources of open data: cartographic bases, official documentation, satellite images, elevation data, web resources and GIS plug-ins. The comparative analysis of cartographic services and geospatial data resources was conducted to determine optimal integration strategies. The findings revealed that OpenStreetMap (OSM) or ESRI Standard Map cartographic bases are most suitable for developing territorial communities' geodatabases, ensuring data currency and high accuracy. The study identified GeoJSON, KML (XML), SHP, and GDB as the most prevalent geodata export formats, with OSM and Overpass turbo emerging as the most effective export resources, offering user-friendly interfaces and frequent updates (3-6 months) with accuracy ranging from 1-15 meters depending on the terrain. The key research outcomes include developing the six-category classification system for geospatial data sources, enabling the comprehensive approach to gathering and systematizing geospatial information. The study systematized and analyzed potential applications of various open geospatial data sources for needs of Ukrainian territorial communities. Maximum accuracy and effectiveness can be achieved through comprehensive integration of all six geospatial data source categories. This approach ensures necessary information detail for effective management of the territorial community developmen. Consolidation of heterogeneous geospatial sources facilitates digital transformation, minimizes data limitation risks, and ensures reliability of geodatabases as the foundation for sustainable territorial development. The research conclusions emphasize potential for optimizing data collection and processing procedures, significantly enhancing efficiency of geospatial database formation. Directions of future research are proposed, including, namely: development of automated data collection algorithms, assessment methodologies of information currency, integration with territorial governance systems, and innovative technologies. Practical significance lies in improving territorial management, optimizing spatial planning processes, and establishing modern information infrastructure for Ukraine's sustainable development.