The National Institute of Standards and Technology (NIST) announced on October 29, 2019, that the final, nine-volume version of the “NIST Big Data Interoperability Framework” (Framework) has been published.[1] The Framework, which was developed by NIST in collaboration with hundreds of experts from an array of industries, provides ways developers can utilize the same data-analyzing software tools on any computing platform.[2] Under the Framework, analysts can transfer their work to different platforms and use more sophisticated algorithms without revamping their environment.[3] This interoperability provides a solution to data scientists who are tasked with analyzing increasingly diverse data sets from a multitude of platforms.[4] Consequently, it could also play a role in solving modern day difficulties that include, but are not limited to, detecting health-care fraud and issues that arise during weather forecasting.[5]