Data analysis provides research with a great deal of knowledge and can, for example, place medical therapy options on a new footing. However, the success of data evaluation depends on the ability to systematically analyse the largest possible data sets.

The structures of the research data centres (e.g. BfArM, cancer registries) should therefore be supported and further expanded.

In addition, there should be a system of flexible data trust structures that enable the aggregated analysis of data that is not already shared in research data centres in an IT security-valid environment. For this purpose, concrete legal grounds for data processing should be created in federal law, for example for the creation and operation of generally accessible test and training data sets for AI applications. In the German Federal Data Protection Act, data evaluation in data trust structures should be placed on a legally secure basis.

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