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OpenStreetMap as Input for Governmental Datasets: Italian Military Geographic Institute Case

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Titel
OpenStreetMap as Input for Governmental Datasets: Italian Military Geographic Institute Case
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266
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Identifikatoren
Herausgeber
Erscheinungsjahr2023
SpracheEnglisch

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Abstract
In recent times, there's been a shift in the geospatial data landscape. While public sector organizations have traditionally been the sole providers of such data, new sources, including private companies and crowdsourced initiatives, are challenging this status quo. Governments are now exploring novel ways to manage their geospatial datasets. Notably, initiatives like Microsoft Building Footprints and the Overture Maps Foundation, backed by major tech companies, aim to improve geospatial data coverage through open data, with a strong reliance on OpenStreetMap (OSM). The Italian Military Geographic Institute (IGM) has joined this trend by releasing the "Database di Sintesi Nazionale" (DBSN), a multi-layer dataset intended for national-level analysis and 1:25,000 scale map creation. The DBSN incorporates data from various sources, including regional geotopographic data and even OpenStreetMap. A noteworthy aspect is that the DBSN is released under the Open Database License (ODbL) due to its inclusion of OSM data, ensuring derivative products are also open. This study conducted a detailed analysis of the DBSN compared to OSM data in 12 Italian regions. The results show that OSM plays a minor role in building data integration but has significant potential for contributing to street information. While the percentage of OSM data compared to official IGM data varies widely among regions, it highlights OSM's importance as a reference source for governmental geospatial information. Additionally, the study indicates that some OSM data not included in the DBSN could be due to differences in tagging or the rapid updating capability of OSM. In summary, this study underscores OpenStreetMap's growing significance as a data source for government organizations and suggests opportunities for enhancing OSM through data imports from sources like the DBSN, released under open licenses.