Management of data and metadata in materials science and engineering is challenging! During experimental investigation, a novel material sample may be synthesized, undergo complex processing operations to modify chemical, microscopic, and macroscopic structure of the sample, and finally be measured by several instruments. During a material’s research lifecycle, tremendous amounts of data and metadata are generated at each step. This poster explores leveraging Schema.org specifications within materials science and engineering as a method to adopt FAIR (Findable, Addressable, Interoperable and Reusable) Data Principles. This poster will explore the need for persistent identifiers for data, physical samples, instruments, and data types, as applied to high throughput experimental materials science.