Geospatial data are increasingly being used in various domains such as natural resources, environment, transportation, urban planning, etc. Expert in geomatics as well as non-expert users can easily access geospatial data, display them on inexpensive GIS or free viewers and manipulate them to support decision processes, often without any knowledge related to the quality of the used data (e.g. precision, completeness, up-to-date). This frequently leads to misunderstandings about the possible uses of data and their inherent limits, sometimes resulting in important social, economical or legal problems.
This paper presents a project named Multidimensional User Manual (MUM) that aims at decreasing the risks of data misuse by providing contextual and aggregated information to geospatial data users regarding different aspects of data quality. Information about data quality is integrated and structured at different levels of aggregation within a multidimensional database. It is then communicated to users via a cartographic interface with contextual indicators providing information on different aspects of data quality. Users can easily and rapidly navigate into several types of quality information at different levels of details using OLAP (On-Line Analytical Processing) operators. Quality information can also be mapped in order to visualize the spatial heterogeneity of quality information.