  Specialized data-taking and data-processing techniques were introduced by the
CMS experiment in Run 1 of the CERN LHC to enhance the sensitivity of searches
for new physics and the precision of standard model measurements. These
techniques, termed data scouting and data parking, extend the data-taking
capabilities of CMS beyond the original design specifications. The novel
data-scouting strategy trades complete event information for higher event
rates, while keeping the data bandwidth within limits. Data parking involves
storing a large amount of raw detector data collected by algorithms with low
trigger thresholds to be processed when sufficient computational power is
available to handle such data. The research program of the CMS Collaboration is
greatly expanded with these techniques. The implementation, performance, and
physics results obtained with data scouting and data parking in CMS over the
last decade are discussed in this Report, along with new developments aimed at
further improving low-mass physics sensitivity over the next years of data
taking.
