FAIR data

  • FAIR data meet principles of Findability, Accessibility, Interoperability, and Reusability.
  • In this project, we focus on computationally generated data on the physical properties of mechanical metamaterials. 
  • The data simulated will be housed in two FAIR repositories:
    • MetaMine: MetaMine is an open-source, data resource for members of the metamaterial community.
    • UCI Machine Learning Repository: The UCI repository is the most extensive repository of machine learning benchmark datasets with almost 500 datasets spanning a huge variety of application domains.