FAIR solutions for a science platform to analyse Cherenkov data online

TL;DR

This paper presents a FAIR-compliant platform for online Cherenkov data analysis, leveraging interoperability standards and Virtual Observatory technologies to enable efficient, reproducible, and accessible scientific data processing.

Contribution

The authors developed a FAIR-aligned, interoperable system for Cherenkov data analysis using IVOA standards, providing a stable environment with provenance tracking and data proximity features.

Findings

Enables quick, reproducible Cherenkov data analysis online

Supports FAIR principles with interoperability and provenance tracking

Reduces data transfer times by placing data near computing nodes

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.