Europe’s digital transformation of the economy and society is framed by the European strategy for data through the establishment of a common European data space based on domain-specific data spaces in strategic sectors such as environment, agriculture, industry, health and transportation. Acknowledging the key role that emerging technologies and innovative approaches for data sharing and use can play to make European data spaces a reality, this document presents a set of experiments that explore emerging technologies and tools for data-driven innovation, and also deepen in the socio-technical factors and forces that occur in data-driven innovation. Experimental results shed some light in terms of lessons learned and practical recommendations towards the establishment of European data spaces.

Unlike innovation that delivers new products, services, and markets, innovation as rentiership is defined by the extraction and capture of value through different modes of ownership and control over resources and assets. This shift towards rentiership is evident in the transformation of personal digital data into a private asset. In light of this assetization, it is necessary to unpack how innovation itself might be a problem, rather than a solution to a range of global challenges.

Digital technologies introduce change rapidly and their potential for impact comes with responsibility. Introducing a dedicated agile practice for considering the consequences of technology within an iterative development cycle.