Usecases that are currently being tested in the AMdEX fieldlab.

Aircraft maintenance data market

Predictive Maintenance is a highly competitive field in many industries. Machine learning allows the industry to transition from fixed to variable maintenance intervals of parts through prediction. Training data is required for this, preferably on all global flight conditions, from arctic to desert conditions. There is no company that collects all this kind of data with its flights. AMdEX provides the possibility to set up data markets for maintenance data in which companies can share this data with each other.

Smart mobility data market

The transition to a new generation of smart mobility solutions requires advanced systems that use data fusion and prediction algorithms in order to respond to and anticipate the current situation at public transport nodes. However, these types of algorithms require many current and historical data sources which often are not available. The AMdEX infrastructure support mobility datamarkets in which data from different sources can be made available and accessible.

Marineterrein | AMdEX


Numerous sensors have been installed at the Marineterrein in Amsterdam, with a variety of owners (including the City of Amsterdam, research institutes, and others). The collected data is currently not accessible to third parties, while businesses, artists, local authorities, journalists and residents do need it. In this case, the sensor data is made available to a variety of users under varying conditions and at various levels of detail. AMdEX supports both the data owner and individual user – for example a journalist – in sharing the data securely.

Research Data Exchange

SURF and UvA are developing a Research Data Exchange (RDX) for researchers and industry to collaborate. One of the cases focus specifically on sharing data from pedagogical and educational research to assess government policy. Read the interview with AMdEX initiator Frans Oort (University of Amsterdam) explaining about the importance of the RDX usecase. This usecase will also apply to the resulting data publications in which the entire lifecycle of data processing by various groups / industries can be traced, thus ensuring transparency in Open Science.