  Research in the data-intensive discipline of high energy physics (HEP) often
relies on domain-specific digital contents. Reproducibility of research relies
on proper preservation of these digital objects. This paper reflects on the
interpretation of principles of Findability, Accessibility, Interoperability,
and Reusability (FAIR) in such context and demonstrates its implementation by
describing the development 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.
