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Research in the data-intensive discipline of high energy physics (HEP) oftenrelies on domain-specific digital contents. Reproducibility of research relieson proper preservation of these digital objects. This paper reflects on theinterpretation of principles of Findability, Accessibility, Interoperability,and Reusability (FAIR) in such context and demonstrates its implementation bydescribing the development of an end-to-end support infrastructure forpreserving and accessing Universal FeynRules Output (UFO) models guided by theFAIR principles. UFO models are custom-made python libraries used by the HEPcommunity for Monte Carlo simulation of collider physics events. Our frameworkprovides simple but robust tools to preserve and access the UFO models andcorresponding metadata in accordance with the FAIR principles.

Making Digital Objects FAIR in High Energy Physics: An Implementation for Universal FeynRules Output (UFO) Models