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Summary
The assessment of data quality represents an essential prerequisite to maintain the high economic
value of the data of the official real estate cadastre. This is achieved in a comprehensive data quality
management. Moreover it helps to adapt the data to the changing requirements of its users. The
quality assessment is the fundamental basis for any further functions of the quality management
like quality control and quality promotion.
To meet the widely recognized need for a data quality assessment of the official real estate cadastre,
it is necessary to develop a suitable quality model and formulate measurable quality features. The
quality model devised in this work rests upon the distinction between design quality and execution
quality and subdivides the „final quality“ perceived by the user into the following so-called data
quality components: the quality of modeling, the quality of implementation, the quality of the collection
and updating as well as the quality of utilisation. The quality model unites different quality
views, like the user-based and the product-based approach and does not distinguish between product
quality and service quality. With the introduction of different steps for the data quality assessment,
the requirements of a manufactering based approach are also taken into account.
Based on this, a comprehensive catalog of 467 quality features is defined, described and categorized
to be used for the data quality element of the logical consistency of the data of the official real
estate cadastre. The so-called „extended application schema“ frame serves as a benchmark for analyzing
the logical consistency, which consists of the nationwide valid GeoInfoDok and numerous federal
state specific restrictions and additions. Among those are federal state laws, federal state ordinances,
regulations, guidelines etc.
To make the feature catalog more transparent, it is divided into 14 thematic groups, such as
„parcel“, „location“ or „persons and registers“. Furthermore the features can be assigned to one of
seven semantic categories, such as domain integrity, the logical completeness, thematic or spatial
integrity, according to their content meaning. Moreover, the classification into six complexity
groups provides indications for the analysis effort and respectively the technology needed. Therefore,
it particularly appeals to a developer.
Discussed is the procedure of obtaining data quality features derived from the axiomatic-normative
approach, the inductive approach and the deductive approach as well as the alternatives of the formalisation
of data quality features.
Suggestions for the improvement of the data model are presented which are based on this conceptual
foundation. Beyond that, a platform and manufacturer independent implementation of an assessment
software tool was carried out.
The „NAS-Analyse-Werkzeug (NAW)“ is a JAVA application, that transfers the catalog of quality features
into the program module „NAS-Analyse“. Furthermore it provides functions of validation and
descriptive statistics. These features are completed by an analysis of change and an analysis of timeliness,
which are both indispensable in particular for the data check in the updating process.
The architecture of the „NAS-Analyse-Werkzeug (NAW)“ was designed for mass data suitability and
for far-reaching adaptability to ensure its usability in a variety of assessment scenarios, but also in