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Best Practices/Interlinking of geospatial entities
Share-PSI 2.0 Best Practice
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Contents
Outline of the best practice
The goal of the best practice is to contribute to resolving difficulties when exchanging public datasets that include geospatial data.
Management summary
Challenge
A number of data sets has references to locations, often in the form of cities, rivers, administrative areas etc. To link those data sets to geospatial entities, a European reference data set with those elements shall be made available that allows establishing links. Without this reference data set, spatial attributes shall be provided as part of the data itself or the accompanying meta data following the guidelines of ISO 19115. Further standards that shall be considered are provided by the Open Geospatial Consortium, OGC.
Solution
Basically two options provide optimal support for geo-spatial aspects of data. Either link the data set to an authoritative geospatial reference entity, which allows discovering the full data set, or even better, serve the data set using standards developed by the Open Geospatial Consortium (OGC) to make sure all elements can be accessed in a standardized way. All data should be described using ISO metadata standards from the 191xx series of standards to ensure reliable discovery. The OGC provides compliance test suites for a number of their standards that work independently of the data set. Thus, compliance to the standards can be machine-tested.
Best Practice identification
Why is this a Best Practice? What’s the impact of the Best Practice
This approach has been proven to be valid and effective in a huge number of spatial data infrastructures world wide and builds the baseline for INSPIRE.
Links to the PSI Directive
Why is there a need for this Best Practice?
Interoperability issues when exchanging public datasets that include geospatial data
What do you need for this Best Practice?
To follow and implement the INSPIRE directive.
Applicability by other Member States
This approach has been proven to be valid and effective in a huge number of spatial data infrastructures world wide.
Contact info
- For editorial issues: valentina.janev@institutepupin.com