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In our research group 'Clinical Analytics,' we focus on optimizing and enhancing data-driven research for clinical users. We employ innovative data visualization and storage methods, particularly in the form of graphs, which we believe are highly valuable for initiating scientific analyses. Our primary goal is to provide deeper insights into the data, enabling users to efficiently and intuitively leverage their domain knowledge, such as for data-driven hypothesis generation.

However, even the most advanced analysis requires properly prepared data. Therefore, we utilize software tools, including a specially developed Metadata Repository (MDR). This not only ensures syntactic and semantic clarity but also assists in unlocking the full potential of the data. For example, it facilitates the integration of various datasets into a coherent whole. In the long term, we aim for a solution that is largely automated to reduce manual steps and accelerate the research process.

If you are working on a project that could benefit from improved data analysis and visualizations, or if you are facing challenges in data harmonization, we encourage you to get in touch with us. As your partner, we are happy to share our expertise and collaborate with you in pursuit of excellent medical research, both qualitatively and quantitatively.