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The Internet of Things (IoT) and the Industrial Internet of Things (IIoT) are fast-growing emerging topics of technical, social, and economic significance that not only affect work practices but also daily routines and habits. The IoT and IIoT comprise a network of smart physical things and devices (such as production machines and home appliances). The number of “things” connected via the internet or the intranet is constantly increasing. It is estimated that approximately 20 billion IoT devices will be online by 2020. Internet of Things and IIoT devices communicate with one another through software technology with the aim of making them more autonomous and cooperative. In addition to technological advances in hardware for the efficient acquisition and communication of context and status data, software solutions in particular offer great potential for influencing many areas of everyday life and work; to this end, humans should be taken into account when designing new digital systems. The central element here is the use of digital data, which are now available in greater quantities and at a better quality than ever before. Currently, the amount of data produced daily is 2.5 quintillion bytes–this will continue to increase in coming years. These data contain much valuable information, which can only be obtained through appropriate data analyses and visualization and correct embedding in their context. The term “data work” has evolved as a superordinate area that combines all aspects of work with data to derive meaningful information, such as data consolidation, data processing, data refinement, data analysis, and data visualization. This thesis focuses …