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February 27, 2026Open Access

Contribution for the FAIRisation of Gammapy: FAIRGamma

Bruno Khélifi Régis Terrier

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Key Points

The aim is to enhance Gammapy's data management capabilities to align with FAIR principles.
Presented at the OSCARS Annual General Meeting
Detailed the FAIRization process for Gammapy
Discussed implications for open science and data sharing
Highlighted the need for improved data accessibility
Proposed recommendations for Gammapy enhancement towards FAIR compliance

Implication

Conference contribution explores enhancing Gammapy's data management for open science, suggesting improved accessibility.

Abstract

Poster contribution to the 2nd OSCARS Annual General Meeting, March 2026, Seville (Spain) Conference page: https://indico.in2p3.fr/event/37069/

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Cite This Study

Khélifi et al. (2026) studied this question.

synapsesocial.com/papers/69a3d800ec16d51705d2e752 https://doi.org/10.5281/zenodo.18805765

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