  Galactic science encompasses a wide range of subjects in the study of the
Milky Way and Magellanic Clouds, from Young Stellar Objects to X-ray Binaries.
Mapping these populations, and exploring transient phenomena within them, are
among the primary science goals of the Vera C. Rubin Observatory's Legacy
Survey of Space and Time (LSST). While early versions of the survey strategy
dedicated relatively few visits to the Galactic Plane region, more recent
strategies under consideration envision higher cadence within selected regions
of high scientific interest. The range of galactic science presents a challenge
in evaluating which strategies deliver the highest scientific returns. Here we
present metrics designed to evaluate Rubin survey strategy simulations based on
the cadence of observations they deliver within regions of interest to
different topics in galactic science, using variability categories defined by
timescale. We also compare the fractions of exposures obtained in each filter
with those recommended for the different science goals. We find that the
baseline_v2.x simulations deliver observations of the high-priority regions at
sufficiently high cadence to reliably detect variability on timescales >10 d or
more. Follow-up observations may be necessary to properly characterize
variability, especially transients, on shorter timescales. Combining the
regions of interest for all the science cases considered, we identify those
areas of the Galactic Plane and Magellanic Clouds of highest priority. We
recommend that these refined survey footprints be used in future simulations to
explore rolling cadence scenarios, and to optimize the sequence of observations
in different bandpasses.
