The materials community has envisioned a new paradigm in materials discovery wherein experiment automation and the integration of human and machine intelligence accelerate materials research to enable new technologies that address a range of societal needs. This vision is being realized in specific areas of materials research via advancements in high throughput computation, experiment automation, and artificial intelligence. Continued evolution of accelerated discovery efforts will require methods to aggregate data and knowledge from a diverse set of sources. Recent advancements for specific sources and domains of materials data include integration of computational databases via the JARVIS project and aggregation of perovskite solar cell data. Data management projects with a broader scope in-clude the Materials Data Facility , which enables materials researchers to submit and annotate datasets.