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Plausibility of data from networks of low-cost measurement devices is agrowing and important contentious issue. Informal networks of low-cost deviceshave particularly come to prominence for air quality monitoring. Thecontentious point is the believability of data without regular on-sitecalibration since that is a specialist task and the costs very quickly becomevery much larger than the cost of installation in the first place. This articlesuggests that approaches to the problem that involve appropriate use ofindependent information have the potential to resolve the contention. Ideas areillustrated particularly with reference to low-cost sensor networks for airquality measurement.

Low Cost Sensor Networks; How Do We Know the Data are Reliable?