In this brief article by Greene et al. of the National Institute of Standards and Technology (NIST), details of the organization's attempt to open access to it scientific data infrastructure are provided. After introducing the details of the type of data held at NIST, as well as the U.S. governments "open access to research" (OAR) initiative, the authors describe the technological architecture that went towards making NIST's data more open. They describe the OAR application workflow all the way to the end, where efforts to "enable data interoperability as much as possible in order to maximize the usability of NIST data" were put in place. The authors conclude that their system not only meets OAR requirements, making basic data access a breeze, but it also "will facilitate the use of AI and machine learning applications and help solve many complexities in mining data-rich resources."