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The Internet of Things (IoT) is a cyber physical social system thatencompasses science, enterprise and societal domains. Data is the mostimportant commodity in IoT, enabling the "smarts" through analytics anddecision making. IoT environments can generate and consume vast amounts ofdata. But managing this data effectively and gaining meaningful insights fromit requires us to understand its characteristics. Traditional scientific,enterprise and big data management approaches may not be adequate, and have toevolve. Further, these characteristics and the physical deployment environmentsalso impact the quality of the data for use. In this paper, we offer a taxonomyof IoT data characteristics, along with data quality considerations, that areconstructed from the ground-up based on the diverse IoT domains andapplications we review. We emphasize on the essential features, rather than avast array of attributes. We also indicate factors that influence the dataquality. Such a review is of value to IoT managers, data handlers andapplication composers in managing and making meaningful use of data, and forbig data platform developers to offer meaningful solutions to address theseconsiderations.

Characterizing IoT Data and its Quality for Use