Representing, Analyzing, and Visualizing Scholarly Data in Support of Research Management

Abstract

This paper describes a data management system that serves leaders and members of scholarly units (e.g., research groups, laboratories or centers) to organize, store, and access information relevant to their work and to the operation of their unit. In particular, we discuss the representation of major data types such as people, projects, teaching, publications, presentations, calls & events, datasets, software, hardware, and funding as well as their interlink ages. Based on this representation, different analyses and visualizations become possible. Each visualization is presented in detail and its usage and relevance for the management and presentation of a unit's operation is discussed. We conclude with an outlook and discussion.