Usage control in the industrial data space
In the age of Industry 4.0, data exchange between different organizations is an essential prerequisite to add more value to data and to develop modern business models. However, we have to solve several challenges to facilitate a secure and trustworthy data exchange between different organizations. In addition, data sovereignty is a key success factor for data-driven business models. In the Industrial Data Space, we provide solutions to realize a secure and trustworthy data exchange as well as data sovereignty. In this report, we focus on data usage control, a conceptual and technological solution to cope with data sovereignty challenges. We introduce a common scenario for the Industry 4.0 age, in which a supplier and an original equipment manufacturer (OEM) are exchanging data to mitigate risks in the supply chain management. We describe the concepts of usage control and align them with this application scenario. In addition, we introduce the different technologies for implementing usage control in the Industrial Data Space. In doing so, we present the Integrated Distributed Usage Control Enforcement (IND²UCE), Label-based Usage Control (LUCON) and Data Provenance. We align every technological solution to our accompanying application scenario. Finally, we present building blocks to realize data usage control in the Industrial Data Space such as the Information Model, Trusted Connector, and a data flow interceptor for Apache Camel.