The SFB will research the prosopographical networks around Emperor Maximilian I (1459-1519) from political, cultural, literary and artistic points of view. It will create a prosopographical database and investigate the relationships of the individuals documented in this database. The DH subproject builds on the current state of digital prosopography for the late Middle Ages. The project will build the necessary data models, tools, and infrastructure for the collection and dissemination of the digital data created by the other subprojects. It will use the collected data for innovative DH research in modeling tacit knowledge and in applying advanced network science techniques (temporal graphs, network patterns). The "factoid" approach to prosopography has proven useful for modeling prosopographic information in source materials and has been formalized according to Linked Open Data standards in several projects. The project will adapt these CIDOC-CRM compliant models to the requirements of each subproject. The subproject will explore the modeling of implicit information and inferences drawn by researchers. The project will evaluate the viability of existing ontologies (CRMinf, PROV, FPO, and "fuzzy" ontologies). Developing robust approaches to these problems will comprise the subproject's basic research. The subproject will provide comprehensive digital support to project partners. Data creation and analysis will be supported by a virtual research environment built on the APIS system. Based on the project partners' research questions, a set of tools will be developed to enable data analysis and visualization (e.g., timelines, network diagrams). The subproject will also conduct its own innovative research on the collected data using methods from network science. How these methods can be adapted to complex historical networks characterized by degrees of uncertainty and incomplete information, temporality, and heterogeneous connections is currently insufficiently explored in social network research.