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In episode 42 of the Data Navigator podcast, we speak to Dominik Ebeling, Head of Data Governance at Rolls-Royce Power Systems, about whether and how trade secrets might be embedded in IoT sensor data, and what this means for claims under the Data Act.

Specifically, we discuss:

  • the right balance between data access and innovation protection,
  • the fridge example: how a product’s control logic can be deduced from a temperature-time series,
  • reverse engineering via data versus via hardware: why the effort involved is a decisive protective factor,
  • a practical categorisation of sensor data into four levels, ranging from environmental variables to the protected core of innovation,
  • the engine manufacturer’s assessment that at least two-thirds of sensor data is entirely uncritical for disclosure,
  • The Omnibus, the Federal Network Agency and the call not to abandon the compromise between data sharing and the protection of trade secrets.

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