  Materials science is becoming increasingly more reliant on digital data to
facilitate progress in the field. Due to a large diversity in its scope,
breadth, and depth, organizing the data in a standard way to optimize the speed
and creative breadth of the resulting research represents a significant
challenge. We outline a modular and extensible ecosystem aimed at facilitating
research work performed in an accessible, collaborative, and agile manner,
without compromising on fidelity, security, and defensibility of the findings.
We discuss the critical components of the ecosystem and explain the
implementation of data standards and associated tools. We focus initial
attention on modeling and simulations from nanoscale and explain how to add
support for other domains. Finally, we discuss example applications or the data
convention and future outlook.
