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Openness, exchange, FAIR data - oh brave new world. For some researchers, this is no longer a vision but already their day-to-day reality. For many others, however, terms like ‘open’, ‘FAIR data’* or ‘data exchange’ pose a challenge. What contribution can we make to ensure that new data comply with the FAIR Data Principles, and how can we measure the FAIRness of existing data? “Trust” is a key aspect: Trust that others interpret ‘your’ data correctly for example, or trust in data repositories.