Ricgraph - Research in context graph

With Ricgraph (Research in context graph), you can create a graph from research information that is stored in various source systems. This can be done for multiple organizations. You can explore this graph and discover relations you were not aware of.

What if... we look at research information as a graph? We would have relations between objects, we would be able to "walk" from one object to another, and related objects would be neighbors. For example, starting with a researcher, the publications of this person are only one step away by following one edge, and other contributors to that publication are again one step (edge) away.

Ricgraph has been developed because our university had a need to explore and visualize our researchers, their research results (e.g. publications, data sets, software packages), the teams, their collaborations, skills, projects, and their relations. By combining this information in one graph, it is possible to show research in context (hence the name).

Ricgraph is a graph that uses nodes and edges to represent objects and their relations. It can be used to store, manipulate and read metadata of any object that has a relation to another object. Metadata from objects can be obtained from any source system you'd like. You run the harvest script for that system, and data will be imported in Ricgraph and will be combined automatically with data which is already there. Ricgraph provides several harvest scripts, and scripts for other sources can be written easily.