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Continuous improvement of key register data by using quality dashboards

Janette Storm

(Submission #110)


The Netherlands have set up a system of key registers. A key register is a government register of authentic data which has to be used by all public institutions in fulfilling their public tasks. Different roles can be defined for these registers, e.g. registry modelling, collecting data, publishing data and quality management. The Netherlands’ Cadastre, Land Registry and Mapping Agency – in short Kadaster – has the ambition to be a “partner in use of geo-information”. This ambition is fulfilled by playing different roles for different key registers. This contribution will show how quality indicator dashboards provide insight in the register quality for users. And how the dashboards support source holders in continuously improving the quality of three spatial key registers:

• BRT (Basisregistratie Topografie, Key Register Topography),

• BGT (Basisregistratie Grootschalige Topografie, Key Register for Large Scale Topography),

• BAG (Key Register for Addresses and Buildings).

To be able to improve on data quality, insight in data quality is necessary. Kadaster has developed a quality indicator dashboard to provide insight in the data quality of a key register. A quality indicator dashboard serves various purposes. It shows data owners their score on different quality indicators for their own information, but also relative to the national average. The dashboard assists a data owner in quality management. And finally it can help to allocate resources to improve on the register data. Two examples of quality indicators in a dashboard are the completeness of postal codes in addresses and location of objects in buildings. Two quality indicator dashboards are available for BAG. The first is a publicly available user dashboard ( where anyone can inspect the register data quality. The second BAG dashboard is a data owner dashboard with more in depth information about the register data. The data owner dashboard consists of a number of quality measures and a variety of statistical data, e.g. the number of records this data owner manages. It shows the data owners score on quality indicators compared to the national average, but it also shows specific errors in data.


Topic Area:  [3.2] Tools and technologies
Abstract Type:  Oral Presentation

Additional Fields

Academic:   No
Data Provider:   Yes
Data User:   Yes
INSPIRE Implementer (IT):   No
INSPIRE newbies:   No
Policy Officers:   Yes
Public Administration (MS/Regional/Local):   Yes
Thematic specialists:   No

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