Information systems enable users to represent, manipulate, and access data effectively. Currently, the development and availability of extensive knowledge bases receive a lot of attention for supporting a variety of intelligent applications like smart assistants, question answering, and knowledge discovery. But building such knowledge bases generally means breaking down information into manageable pieces (e.g., in the form of triples in RDF) that tend to lose connections and extraction contexts. In contrast, humans typically share and exchange knowledge by interweaving different pieces into narratives that are plausible and easy to grasp. In this position paper, we summarize the main research directions of narratives in computer sciences. Moreover, we propose basic design principles that narrative information systems should consider in practice. In particular, we take a closer look at narrative representations, possible bindings between narratives and real-world data, the context-compatibility of information, and finally a narrative's plausibility.