  This document captures the discussion and deliberation of the FAIR for
Research Software (FAIR4RS) subgroup that took a fresh look at the
applicability of the FAIR Guiding Principles for scientific data management and
stewardship for research software. We discuss the vision of research software
as ideally reproducible, open, usable, recognized, sustained and robust, and
then review both the characteristic and practiced differences of research
software and data. This vision and understanding of initial conditions serves
as a backdrop for an attempt at translating and interpreting the guiding
principles to more fully align with research software. We have found that many
of the principles remained relatively intact as written, as long as
considerable interpretation was provided. This was particularly the case for
the "Findable" and "Accessible" foundational principles. We found that
"Interoperability" and "Reusability" are particularly prone to a broad and
sometimes opposing set of interpretations as written. We propose two new
principles modeled on existing ones, and provide modified guiding text for
these principles to help clarify our final interpretation. A series of gaps in
translation were captured during this process, and these remain to be
addressed. We finish with a consideration of where these translated principles
fall short of the vision laid out in the opening.
