Sensor Data and Managing Data Quality in Sensory Network Applications

The concept of pervasive computing has become a reality. Sensors and sensory networks are becoming a vital part of organizational infrastructures as they allow integration of real-time data. The sensors have the potential to provide vastly distributed real-time data. But they also have certain limiting characteristics that can impact the quality of data collected over a sensory network. The first objective of this paper is to identify the implications for data quality of sensors and sensory networks. The second objective of this paper is to describe a method for managing data quality in sensory networks using the information product approach. Finally, to help organizations effectively deploy sensory networks, we present a conceptual framework to better understand the advantages and drawbacks of sensory networks.