Experimental materials science is experiencing significant growth due to automated experimentation and AI techniques. Integrated autonomous platforms are emerging, combining generative models, robotics, simulations, and automated systems for material synthesis. However, two major challenges remain: democratizing access to these technologies and creating accessible infrastructure for under-resourced scientists. This paper introduces the Quantum Data Hub (QDH), a community-accessible research infrastructure aimed at researchers working with quantum materials. QDH integrates with the National Data Platform, adhering to FAIR principles while proposing additional UNIT principles for usability, navigability, interpretability, and timeliness. The QDH facilitates collaboration and extensibility, allowing seamless integration of new researchers, instruments, and data into the system.

翻译：实验材料科学正因自动化实验与人工智能技术的推动而显著增长。集成式自主平台正在兴起，其结合了生成模型、机器人技术、仿真模拟以及材料合成的自动化系统。然而，两大挑战依然存在：如何普及这些技术的使用，以及如何为资源有限的科研人员创建可访问的基础设施。本文介绍了量子数据中心（QDH），这是一个面向量子材料研究者的社区可访问研究基础设施。QDH与国家数据平台集成，遵循FAIR原则，同时提出了额外的UNIT原则，以确保可用性、可导航性、可解释性与时效性。QDH促进了协作与可扩展性，允许新研究人员、仪器和数据无缝集成到系统中。