Incorporating the principles of Shneiderman's Information Seeking Mantra (1996) —"Overview first, zoom and filter, then details-on-demand"— our solution offers a dashboard-like overview consisting of multiple charts such as pie charts, bar charts, timelines, and maps, that display attributes of the data set like gender, occupational fields, qualification levels, and publication details. These charts are synchronised, such that interactions in one chart dynamically result in an update of the others, following the information visualisation concept of “brushing and linking” (see, e.g., Eick and Wills 1995 ; Hearst 1999). The user can directly interact with the view of the data to alter its appearance in real time. This way, the complete dataset can be progressively filtered and drilled down into specific data points. Each chart within the dashboard serves, in terms of query languages, both as a projection of the attribute it is meant to represent and allows to express selection criteria for that attribute. As an additional non-interactive projection view, the interface provides a tabular overview of all filtered data that comprises all data attributes.