The digitalization of companies and their business processes represents a central component of Industry 4.0. The digital mapping of processes, goods, and resources, as well as crosscompany networking lead to product, service, process, and organizational innovations in a multitude of application areas.
The basic prerequisites for these innovations are the secure exchange and easy combination of data in value networks. This is where the Industrial Data Space (IDS) comes into play, which is characterized by comprehensive, cross-industry networking in an open data space. This data space makes it easier for companies to exploit the potential of digitalization for their business models without relinquishing control over their data.
The basis of the Industrial Data Space is a reference architecture model that is being developed by twelve Fraunhofer institutes in the context of a research project with the same name, which is funded by the German Federal Ministry of Education and Research (BMBF). The research project started on 1 October 2015 and has a duration of three years. Important contributions by Fraunhofer IESE include data usage and access control as well as measurement and evaluation of the data quality of data and information made available in the IDS.