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The Prosopographic Database of German Engineers 1825–1970 contains a multitude of biographical information. Given a set of research interests by collaborating historians, this paper discusses the steps undertaken (1) to extract engineering subjects from unstructured text entries in the database accompanied with geospatial and temporal information, (2) to adapt existing visual representations to facilitate exploratory analyses, and (3) to design a visual interface to support the interactive composition of engineering branches from engineering subjects to enable the comparative analysis of geospatial-temporal developments in engineering. Usage scenarios outline the benefit of the proposed visualizations for modern prosopography research.

Various time-based visualization techniques have been designed to support the temporal analysis of data collections. While quantities play a secondary role in traditional timelines that reserve space for each individual data item to be observed, time graphs rather display quantitative information and they provide interaction means to filter for a subset of the data. Timages is a hybrid approach that enhances quantitative time graphs with qualitative information in an infographic-style. By (1) scaling thumbnails of data items dependent on relevance to the observed topic and by (2) time-dependent positioning these thumbnails inside a temporally aligned area with a novel space-filling strategy, the most relevant items in the entire data collection as well as predominant data items of certain time ranges are instantly seizable without the need to interact with the time graph.

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Computer science and the humanities seem to belong to two opposite sides within the spectrum of scientific methods and research. In the domain of digital humanities, however, formalization and hermeneutic interpretation have to be integrated. As will be argued in this article, this integration provides a fundamentally new challenge to both disciplines. In particular, researchers from the humanities want to be sure that using the tools provided by computer science (big data, machine learning, etc.) do not change insights in any non-expected way. However, even if this could be partially secured, it cannot be achieved in general for most of the research practices. As will be demonstrated in the context of digital editions in musicology, it is impossible to design technology in a neutral or context-free manner. Due to the interests of different actors and institutions, numerous design conflicts arise where the implementation of requirements violates other, equally valid demands. To balance these conflicting requirements invariably brings some bias to the overall design. Thus, it is important to develop a strategy for identifying potential influences as well as the impact of design decisions throughout the whole process of developing tools and infrastructures. The paper presents an approach for hypotheses driven design of digital tools and infrastructures from a computer science point of view, placing great emphasis on supporting mutual understanding and ensuring a transparent design process.