When we think of digitalization, we mean the transfer of an analogue reality to a compressed technical image. In the beginning, digitalization served the purpose of enhancing social communication and action. Back then, data was supposed to be a copy of fragments of reality. Since these fragments were generated and processed for specific purposes, data had to be viewed in context and considered as a physical link. Due to the fact that reality was way too complex to make a detailed copy, the actual purpose of data processing was crucial. Besides, storage capacities and processor performance were limited. Thus, data had to have some economic and/or social value. However, new technologies have led to a profound change of social processes and technological capacities. Nowadays, generating and storing data does not take any considerable effort at all. Instead of asking, “why should I store this?” we tend to ask ourselves, “why not?” At the same time, we need to come up with good reasons to justify the erasure of data—after all, it might come handy one day. Therefore, we gather more and more data. The amount of data has grown to dimensions that can neither be overseen nor controlled by individuals, let alone analyzed.