  We present SimSpin, a new, public, software framework for generating integral
field spectroscopy (IFS) data cubes from N-body/hydrodynamical simulations of
galaxies, which can be compared directly with observational datasets. SimSpin
provides a consistent method for studying a galaxy's stellar component. It can
be used to explore how observationally inferred measurements of kinematics,
such as the spin parameter $\lambda_R$, are impacted by the effects of, for
example, inclination, seeing conditions, distance, etc. SimSpin is written in R
and has been designed to be highly modular, flexible, and extensible. It is
already being used by the astrophysics community to generate IFS-like cubes and
FITS files for direct comparison of simulations to observations. In this paper,
we explain the conceptual framework of SimSpin; how it is implemented in R; and
we demonstrate SimSpin's current capabilities, providing as an example a brief
investigation of how numerical resolution affects how reliably we can recover
the intrinsic stellar kinematics of a simulated galaxy.
