  This is a personal perspective on data sharing in the context of public data
releases suitable for generic analysis. These open data can be a powerful tool
for expanding the science of high energy physics, but care must be taken in
when, where, and how they are utilized. I argue that data preservation even
within collaborations needs additional support in order to maximize our science
potential. Additionally, it should also be easier for non-collaboration members
to engage with collaborations. Finally, I advocate that we recognize a new type
of high energy physicist: the 'data physicist', who would be optimally suited
to analyze open data as well as develop and deploy new advanced data science
tools so that we can use our precious data to their fullest potential.
  This document has been coordinated with a white paper on open data
commissioned by the American Physical Society's (APS) Division of Particles and
Field (DPS) Community Planning Exercise ('Snowmass') Theory Frontier [1] and
relevant also for the Computational Frontier.
