INSPIRE Knowledge Base


Safe Software
Mission and Objectives: 
Provide spatial ETL (extract, load, and transform) tools to promote data interoperability and data harmonization between both spatial and non-spatial datasets. Also, provide tools that allow users to rapidly prototype and test schema transformations.
Formal Mandate: 
To help Inspire develop data transformation and translation test scenarios and help review their effectiveness and performance.
Develop software tools that support spatial data integration. Provide these tools for users in 116 countries around the world. Provide professional services to support implementation of spatial data infrastructure and migration projects, often for large scale government organizations such as national mapping agencies, resource management, defense, etc. Attend conferences, make presentations and conduct training workshops to educate users on methods for better data harmonization and integration and keep abreast of evolving needs and approaches within the community. Participate with open standards communities to ensure our ongoing support for them (OGC GML, WFS, WMS, xml etc). Participate with open source community to use and support the development of libraries such as GEOS, GDAL and FDO. Assist users with bridging the gaps between open standards and proprietary systems. Partner in development with most major GIS vendors (Autocad, ESRI, MapInfo, Smallworld, Intergraph, Google, Microsoft, Oracle, IBM, WeoGeo) to promote interoperability across diverse range of domains, applications and platforms. Continue to add support for new formats, data models and coordinate systems as needs arise. Example projects include solutions developed for Ordnance Survey / OS MasterMap, Arkansas GeoStor, BCHydro, Alaska Map Science, IHS energy, SevenCs, State of North Dakota, Landcare Research (see and for more info).
OGC, Integrated Cadastral Information Society (ICIS), ISO, URISA.
We believe our participation will be valuable to Inspire in that we can provide tools such as FME that allow users to rapidly prototype data schema and format translations. These prototypes can then be used to support testing scenarios that can drive the evaluation of Inspire specifications. Our tools are easily integrated with other development environments (Python etc), and our support for a wide range of standards, including many European standards, make leveraging existing datasets that much easier (SOSI, EDIGEO and NEN 3610 and OGC). Our practical experience with integrating open standards and proprietary systems can also provide useful insights into the likely implications of standard design and implementation decisions. We have extensive experience in understanding the barriers to true data interoperability and helping design solutions to overcome them. We work both on the granular level of developing solutions for restructuring feature geometry and attributes to conform to domain specific datamodels. We also work on the enterprise level where desktop data transformation models can be deployed to SOA servers to support scalability.

Which role(s) do you foresee for the SDIC in INSPIRE development

  • allocate experts to Drafting Teams
  • yes
  • participate in the review process
  • yes
  • implement pilot projects to test/revise/develop the draft Implementing Rules
  • yes
  • contribute to awareness raising and training
  • yes
  • be kept informed
  • yes
    Geographic Domain
    users in 116 countries
    Societal Sector
    national, regional and local government; utilities, engineering, environmental
    Specific Expertise
    Previous Experience relevant for INSPIRE development
    Work with complex data model transformations (data harmonization) to support inter-agency spatial data exchange: York Region - Ontario, data exchange with local emergency services, member cities and neighboring jurisdictions. Also modeling to support transformation from highly object oriented, nonspatial xml data model for aviation - AIXM, to a relational spatial database. Transformation of complex data structures into forms more accessible to visualization tools to make data review and QA easier. For example, transforming a raster data cube of land use data from the last 300 years in netCDF format into a kml raster time series to play as an animation in Google Earth.
    Environmental application domains
    Have developed coastal, flood and other natural hazard models, for demonstration purposes. Also, personally have experience developing scenario based land use growth projection, and derivative environmental impact models (land use change effects including impacts on emissions, runoff, flood risk, slide risk, habitat risk etc). Also some experience developing river flow multi-objective optimization to support maximizing benefits to fish, recreation and power generation.
    Primary Business
    Spatial data integration, SDI development, migration, data model harmonization