|About this Abstract
||1st World Congress on High Entropy Alloys (HEA 2019)
||High Entropy Alloys 2019
||Enabling FAIR Data Principles for High-throughput Materials Science and Engineering
||Zachary Trautt, Brian DeCost, Jason Hattrick-Simpers
|On-Site Speaker (Planned)
The large parameter space of high entropy alloys elevates the importance of high-throughput experimental methods and machine actionable data management and sharing. The “FAIR Guiding Principles for scientific data management and stewardship” [https://doi.org/10.1038/sdata.2016.18] define a set of practices governing the Findability, Accessibility, Interoperability, and Reusability of scientific data. This talk will summarize efforts at NIST and within the Materials Genome Initiative, to enable the use of FAIR Data Principles within high-throughput experimental methods throughout the data lifecycle.