  IoT technologies pose serious challenges to digital Forensics. The
acquisition of digital evidence is hindered by the number and extreme variety
of IoT items, often lacking physical interfaces, connected in unprotected
networks, feeding data to uncontrolled cloud services. In this paper we address
"Information Quality" in IoT Forensics, taking into account different levels of
complexity and included human factors. After drawing a theoretical framework on
data quality and information quality, we focus on forensic analysis challenges
in IoT environments, providing a use case of evidence collection for
investigative purposes. At the end, we propose a formal framework for assessing
information quality of IoT devices for Forensics analysis.
