1. Keep it simple! - a Nordic view on technical simplification issues
Keep it simple! - a Nordic view on technical simplification issues

2. The INSPIRE data models
The INSPIRE data models

3.
Unfolded

4.
…or as a flat tables…

5.
Flat vs. complex model

6. From a user perspective
From a user perspective

7.
Voidables

8. Voidables 2018-11-16 http://data.gov.se/geodata/so/havsomraden/
123e4567-e89b-12d3-a
unknown
costalZoneManagementArea
water

9.
Joins

10. Flattening of complex attributes
Flattening of complex attributes
An area got a name!
123e4567-e89b-12d3-a
unknown
costalZoneManagementArea
water

11.
Geographical names

12.
Geographical names
Name attributes

13. Geographical names Name attributes 2018-11-16
The combination of complex data types and voidables create this situation. Two rasters put on top of each other.

14.
Nordic viewpoints
We acknowledge the complex data models as conceptual data models but propose that these should only be recommended encoding rules. i.e. flat data models are also valid for INSPIRE harmonisation. The content will be the same.
We propose that voidable attributes are left out if they are not available. In the data models they should be considered “desirable” attributes. A modern software should be able to handle the merge of different attribute tables.
We propose that the usage of complex data types, included from other application schemas (INSPIRE or ISO), are made simpler and that recommendations are made on alternative ways on how to fill the voidable elements of, for instance the data type GeographicalName.

15. A good example on simplification
A good example on simplification
Fit for purpose
Prospecting areas for mining at the sea – from the The Danish Agency for Water and Nature Management
The data is identified as in scope of INSPIRE AM
Fit for purpose

16. After transformation Assumptions made:
After transformation
Assumptions made:
attributes marked “voidable” are left out
multiplicity changed from 1..* to exact 1
inheritances and data types are flattened