https://www.ronpub.com/ojiot/OJIOT_2020v6i1n10_Ramachandran.html Channel of the paper: Gowri Sankar Ramachandran, Jeremy Stout, Joyce J. Edson and Bhaskar Krishnamachari: ParkingJSON: An Open Standard Format for Parking Data in Smart Cities, Open Journal of Internet Of Things (OJIOT), 6 (1), pages 105-118, URN: urn:nbn:de:101:1-2020080219342154738409, 2020 en-us https://www.ronpub.com/ojiot/OJIOT_2020v6i1n10_Ramachandran.html http://nbn-resolving.de/urn:nbn:de:101:1-2020080219342154738409 Data marketplaces and data management platforms offer a viable solution to build large city-scale Internet of Things (IoT) applications. Contemporary data marketplaces and data management platforms for smart cities such as Intelligent IoT Integrator (I3), Cisco Kinetic, Terbine, and Streamr present a middleware platform to help the data owners to provide their data to the application developers. However, such platforms suffer from adoption issues because of the interoperability concerns that stem from heterogeneous data formats. On the one hand, the IoT devices and the software used by the device owners follow either a custom data standard or a proprietary industrial standard. On the other hand, the application developers consuming data from multiple device owners expect the data to follow one common standard to process the data without developing custom software for each data feed. Therefore, a common data standard is desired to enable interoperable data exchange through data marketplace and data management platforms while promoting adoption. We present our experiences from developing a city-scale real-time parking application for a smart city. We also introduce ParkingJSON, a new open standard format for parking data in smart cities, which could help the parking data providers to cover all types of parking infrastructures through a single JSON schema. To the best of our knowledge, this is the first parking data standard proposed that a) covers a wide range of parking spaces and structures, b) integrates spatial information, and c) provides support for data integrity and authenticity.