Research in high energy physics (HEP) heavily relies on domain-specific digital contents. We reflect on the interpretation of principles of Findability, Accessibility, Interoperability, and Reusability (FAIR) in preservation and distribution of such digital objects. As a case study, we demonstrate the implementation of an end-to-end support infrastructure for preserving and accessing Universal FeynRules Output (UFO) models guided by the FAIR principles. UFO models are custom-made python libraries used by the HEP community for Monte Carlo simulation of collider physics events. Our framework provides simple but robust tools to preserve and access the UFO models and corresponding metadata in accordance with the FAIR principles.
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