  In the last decade, following the emergence of the mobile applications
domain, the significance of location information has changed radically.
Nowadays, location data not only is a key component of geospatial databases,
but also a critical resource for a broad spectrum of applications, including
Location-based Services and IOT solutions. This change of perspective has been
made possible by the availability of localization technologies providing
accurate and reliable location information on moving entities in real time. We
refer to real-time location as positioning data. Positioning data has unique
characteristics, such as the strong dependency from both the localization
technology and the environmental context, which make the specification of
standard quality metrics and quality assessment procedures a complex task. In
this paper, we elaborate on such an aspect, focusing in particular on indoor
positioning data.
