Metadata should help users to assess the quality (fitness
for use) of geospatial data, thus reducing the risk of data
misuse. However, metadata presents limitations and remain
largely unused. There still exists a need to provide information
to users about data quality in a more meaningful way.
This research aims to dynamically communicate quality
information to the users in a rapid and intuitive way in
order to reduce user meta-uncertainty related to geospatial
data quality, and then reduce the risks of data misuses.
Such a solution requires a data model able to support
heterogeneous data quality information at different levels of
analysis. Using a multidimensional database approach, this
paper proposes a conceptual framework named the Quality
Information Management Model (QIMM) relying on quality
dimensions and measures. This allows a user to easily and
rapidly navigate into the quality information using a Spatial
On-Line Analytical Processing (SOLAP) client-tied to its GIS
application. QIMM potential is illustrated by examples, and
then a prototype and ways to communicate data quality to
users are explored.