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We developed a system to run quick analyses of Cherenkov data in compliancewith the FAIR Guiding Principles for scientific data management (FAIR:Findable, Accessible, Interoperable and Reusable), through the use ofinteroperability standards and technologies, particularly those provided by theInternational Virtual Observatory Alliance (IVOA) to build the VirtualObservatory (VO). We therefore provide a controlled and stable environment on acomputing cluster, in order to execute and re-execute well defined jobs.User-specific input parameters can be specified to configure the execution ofan analysis job. Provenance information is automatically captured by the systemand accessible to the user. To avoid long transfers, the data can be placedclose to the computing nodes. This system is primarily used to analyseCherenkov astronomy data, though it may be used for other purposes.

FAIR solutions for a science platform to analyse Cherenkov data online