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Information systems increasingly link to the physical world. Technological advancements and declining unit costs of sensor technology combined with increased connectivity drive the spread and complexity of the Internet of Things (IoT)(Wortmann and Flüchter 2015) or so-called cyber-physical systems (Lasi et al. 2014; Lin et al. 2017). Today, billions of sensors feed information systems (IS) with data describing physical phenomena–such as temperature, pressure, humidity, velocity, chemical components, or material composition–across many areas ranging from industrial applications (eg, smart factories) to consumer applications (eg, smart watches). They form a key foundation for AI-based information systems that apply machine learning and generate analytics-based solutions. In particular, sensor data represents an essential building block of digital twins as an important phenomenon of interest for the BISE …