  The advent of data-driven science in the 21st century brought about the need
for well-organized structured data and associated infrastructure able to
facilitate the applications of Artificial Intelligence and Machine Learning. We
present an effort aimed at organizing the diverse landscape of physics-based
and data-driven computational models in order to facilitate the storage of
associated information as structured data. We apply object-oriented design
concepts and outline the foundations of an open-source collaborative framework
that is: (1) capable of uniquely describing the approaches in structured data,
(2) flexible enough to cover the majority of widely used models, and (3)
utilizes collective intelligence through community contributions. We present
example database schemas and corresponding data structures and explain how
these are deployed in software at the time of this writing.
