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Conference Papers Year : 2022

FAIR solutions for a science platform to analyse Cherenkov data online

Abstract

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

obspm-03929759 , version 1 (09-01-2023)

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Mathieu Servillat, Paula Kornecki, Catherine Boisson. FAIR solutions for a science platform to analyse Cherenkov data online. ADASS XXXII, Oct 2022, Victoria, Canada. ⟨obspm-03929759⟩
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