The document provides an overview of materials informatics and the Materials Genome Initiative. It discusses how materials informatics uses data-driven approaches and techniques from fields like signal processing, machine learning and statistics to generate structure-property-processing linkages from materials science data and improve understanding of materials behavior. This includes extracting features from materials microstructure, using statistical analysis and data mining to discover relationships and create predictive models, and evaluating how knowledge has improved.