SatCen faces significant challenges when integrating GIS datasets from multiple sources, which are often in different formats, scales, data models, granularity, and segmentation. Data integration requires converting data into a common format and data model, which can result in issues with precision, scale, meaning, and structure of the data. For instance, the same object may be duplicated among different sources, such as a street represented as one line feature in one dataset and as multiple line features in another. In response to the need to increase the efficiency of migrating Open Street Map (OSM) data sources to their own data model, known as SatCen Data Dictionary (SCDD), EUSC has developed an Extract, Cleanse, Transform, and Load (ECTL) workflow using FME Desktop from Safe Software. To facilitate the mapping of OSM data to the SCDD, an analysis of OSM data sources is performed to define the schema mapping document. The analysis utilizes OSM tags consisting of a key and value. For the results, typical values are targeted rather than exceptional values. E.g. an aeroway tag with navigationaid is the typical value while navigation_aid and navigationalaid would be exceptional values. The TagInfo (https://taginfo.openstreetmap.org/) website lists these combinations and relative counts and provides a SQLite Database for download. This is the primary source of information for analysis. This workflow is based on standards for vector and raster data. The process for mapping Open Street Map data to EU SatCen data dictionary (Compatible with Multinational geospatial co-production program, MGCP), has been replicated with HERE/NAVTEQ mapping to the EU SatCen data dictionary and for the raster side from geotiff to GMLJP2 image compression/decompression with area blurring.