This Nature article discusses the use of AI in materials science, emphasizing the need for high-quality, domain-specific data to fully harness AI’s potential. It highlights challenges like data accuracy, integrity, and standardization, which are crucial for AI-driven research. The authors propose a framework for improving data governance in the materials science community, focusing on enhancing data collection, sharing, and accessibility, and adhering to FAIR principles. The ultimate goal is to create an AI-ready data ecosystem to accelerate research and innovation in the field.
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