Owing to its fundamental nature, properties deriving from lattice dynamics are consequential in many functional applications, such as thermoelectrics , contact materials, ferroelectrics , shape-memory alloys , and all areas where phase diagram is of important consideration. In particular, lattice dynamics can describe important macroscopic thermal properties such as lattice thermal conductivity, thermal expansion coefficient, and phase stability at finite temperatures. Despite its practical utility, lattice dynamics has long been a difficult problem to computationally describe with enough accuracy and efficiency combined so as to be implemented in high-throughput. A general high-throughput workflow for lattice dynamics is needed in order to take materials engineering to the next step on multiple fronts. In particular, such a framework could be used to establish thermal properties in materials databases such as the Materials Project (MP) , AFLOW , and OQMD , clearing novel, data-driven paths to materials innovation.