AI-Generated Summary
Datenaustausch und Zusammenarbeit im urbanen Raum (Data Exchange and Collaboration in Urban Spaces) is a Berlin smart city project focused on developing frameworks, technical standards, and governance models for sharing data between different urban stakeholders — including municipal departments, public utilities, research institutions, private companies, and citizens. The project addresses one of the most persistent challenges in smart city development: the fragmentation of urban data across siloed organisations and systems that cannot easily communicate with one another. By establishing common data exchange protocols, interoperability standards, and trusted data-sharing agreements, the initiative enables different actors in Berlin's urban ecosystem to pool their data assets and generate insights that no single organisation could produce alone. Key focus areas include the development of secure application programming interfaces (APIs) for real-time data exchange, the creation of data governance frameworks that protect citizen privacy while enabling innovation, and the establishment of data marketplaces where urban datasets can be discovered, accessed, and combined for research and service development. The project draws on European standards such as NGSI-LD and FIWARE, ensuring compatibility with smart city platforms in other European cities and facilitating cross-border data collaboration. Practical applications include combining transport data with environmental sensor data to optimise traffic management, linking energy consumption data with building information models to identify retrofit opportunities, and integrating citizen feedback with municipal service data to improve public service delivery. The project contributes to Berlin's Gemeinsam Digital strategy and its commitment to open, participatory, and data-driven urban governance. It also informs Germany's national smart city standardisation efforts and contributes to European Union initiatives on urban data spaces and digital twins.