Establishing a Quality Control System based on ISO

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Establishing a Quality Control System based on ISO 19114 Standards in and • ISO 19113 Action: • Workshop at the 13 th meeting of ISO/TC 211, Adelaide, Australia Gerhard Joos AGIS – GIS lab University of the Bundeswehr Munich Gerhard. Joos@unibw-muenchen. de http: //agis. bauv. unibw-muenchen. de

Importance of Quality • • Gain confidence in geodata Reduce users‘ complaints Get customer’s satisfaction Minimize consecutive costs caused by decisions or actions based on erroneous data Arbeitsgemeinschaft GIS Gerhard Joos

Two German examples based on AGIS-projects • Bundeswehr Geographic Office • Incorporating external data into the central topographic database • Stadtwerke München (SW/M) – Utility supply company Munich: gas / water / electricity / heat • Capturing utility features by contractors • Updating utility and cadastral features Arbeitsgemeinschaft GIS Gerhard Joos

Evaluating and Reporting Quality Evaluation Results [ISO 19114] Dataset as specified by the scope ISO 19113 2 5 step process on quality evaluation 3 Identify an applicable data quality element, data quality subelement, and data quality scope ISO 19114 1 Product specification or user requirements work item 19131 Identify a data quality measure Select and apply a data quality evaluation method Conformance quality level 4 Determine the data quality result 5 Determine conformance Report data quality result (quantitative) Arbeitsgemeinschaft GIS Report data quality result (pass Gerhard Joos / fail)

Evaluate data captured in an external process Bundeswehr Geographic SW/M – Utility supply company office Munich Dataset Topographic data Utility features in connection with cadastral data Scope Germany: all topographic Homogeneous lots with different features – test performed geographic extent and with on defined areas different feature classes Data Logical consistency Completeness quality Logical consistency element Positional accuracy s Thematic accuracy Method Automated checking – application Quality Management rules from the product specific rules specification Sampling Full inspection Conforma – Different conformance quality Arbeitsgemeinschaft GIS Gerhard Joos levels for different feature classes level

Experiences with applying ISO 19113 and ISO 19114 • The concept behind those standards works • In some respect too general • E. g. no normative quality measures given • Standard on product specification was missing (wi 31) • System independent description of conceptual rules within the application schema were not available • UML constraints (OCL) could be the solution • This means that the application schemata have to be available in UML – this is not yet the case Arbeitsgemeinschaft GIS Gerhard Joos

Method for determination conformance quality levels • Assumptions • The more errors are in a dataset, the higher the likelihood of applying erroneous data for decisions or actions • Each false decision or action leads to consecutive costs • costs on finding the right answer • costs due to damages caused by false information e. g. by hitting a pipeline which was documented at a different location • hidden costs by loosing confidence of the user community • hidden costs due to image loss by the customer • A dataset is never completely free of errors Arbeitsgemeinschaft GIS Gerhard Joos

Conformance quality level • The amount of consecutive costs in a certain application from erroneous data can be estimated • This amount is better invested into Quality Management of the data • With these parameters the conformance quality level can be calculated Arbeitsgemeinschaft GIS Gerhard Joos

Thank you! Gerhard Joos AGIS – GIS lab University of the Bundeswehr Munich Gerhard. Joos@unibw-muenchen. de http: //agis. bauv. unibw-muenchen. de

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