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VREs are predestined to support many aspects of FAIR because of their characteristics to provide a workspace for collaboration, sharing data and simulations and/or workflows. The FAIR for VRE Working Group has worked on a checklist to measure FAIRness in science gateways. This list considers how to address the complexity in regard to which target group is addressed – developers or users – and the granularity such as VREs as software frameworks, services, APIs, workflows, data and simulations. We assume that not only VREs as software frameworks are FAIR but that they also are FAIR-enabling for the digital objects they contain. The objective of this session will be how to recognize and incentivize that providers, developers and users are actively working towards FAIRness of digital objects. The idea for this session is to address this via badges. It probably makes sense to split the badges for the four principles Findable, Accessible, Interoperable and Reusable. There are many open questions beyond this granularity such as how to create badges, who gives such badges, what are the rules for the duration of badges? 

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The Covid-19 pandemic has majorly influenced the research around smart city applications and data management. One big topic for Smart City Applications are the novel traffic patterns. Traffic is going back to values near pre-pandemic and adding further traffic via delivery services that arose during the pandemic and are here to stay. Fast data solutions, efficient software frameworks and sensors as well as novel concepts such as semantic advancements are needed to address such challenges. The minitrack presents semantic complex event processing for processing sensor data. The panel addresses current trends evolving from new traffic patterns in cities and rural areas as well as trends in data streaming. 

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