Geospatial data users increasingly face the need to assess how datasets fit an
intended use. However, information describing data quality is typically difficult
to access and understand. Therefore, data quality is often neglected by users,
leading to risks of misuse. Understanding data quality is a complex task that may
involve thousands of partially related metadata. For complex cases where
heterogeneous datasets have to be integrated, there is a need for tools supporting
data quality analysis. This paper presents the design of such a tool that can
manage heterogeneous data quality information and provide functions to
support expert users in the assessment of the fitness for use of a given dataset.
Combining concepts from GIS and Business Intelligence, this approach provides
interactive, multi-granularity and context-sensitive spatial data quality indicators
that help experts to build and justify their opinions. A prototype called the
Multidimensional User Manual is presented to illustrate this approach.