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Representing, Analyzing, and Visualizing Scholarly Data in Support of Research Management
2007
Information Visualisation
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 interlinkages. Based on this representation,
doi:10.1109/iv.2007.94
dblp:conf/iv/NeirynckB07
fatcat:3qpxbdokujai5mxo5zlentdlqa