In this tutorial we explain the basics of a 'Linked Data and Ontology' approach for combining data, in particular for the study of rare diseases. The approach is motivated by a case study provided by health care researcher Ulrike Braisch. The main take home lesson is that with this approach the effort for data integration can be substantially lowered, i.e. lead to a shorter path to new treatments for (rare) diseases.
The presentation is based on a tutorial given at the RD-Connect/Neuromics/Euronomics plenary meeting in Heidelberg, Germany, February 26, 2014. It was made possible by RD-Connect, a European project to support Rare Disease research (http://www.rd-connect.eu).