Nowadays scientific related information can be derived from social networking sites (i.e. ResearchGate) and content sharing platforms such as Slideshare or scientific blogs next to classical sources like library catalogues, online archives and databases. Scientists are not only facing the problem of assessing the best content but also the problem of information overload due to the number of possible sources which is increasing rapidly. The question is how to systematically locate and evaluate the vast information resources. Therefore, the automated analysis of large literature corpora is of high interest for scientists, e.g. through data and text mining as well as visualisations. Next to this, it is necessary to ensure competencies in dealing with these methods by improving information literacy competencies to actually interpret the results.