Designing Essential Components For Logistics Data Spaces: Connecting Logistics interfaces, Converters, Knowledge, and Standards

Data-sharing, especially in the logistics sector, is vital for unlocking innovative business models and empowering supply chain partners to enhance their operations. However, establishing a data-sharing ecosystem requires addressing data interoperability barriers, suchs as conflicting formats and schema. The lack of technical enforcement for data sovereignty further hinders companies' willingness to share data. Additionally, uncertainties surrounding participating partners and technology adoption pose challenges for upfront investments in data space. This EngD thesis investigates a suitable design for a Connector Store and other essential components in the logistics data space, focusing on streamlining onboarding, reducing data interoperability barriers, and fostering data sovereignty. Through the application prototypes showcased to a panel of logistics data space to effectively address interoperability, sovereignty, and discovery issues. Ultimately, valuable insights derived from the thesis can serve as a foundation for future research in this field.