Enhancing Scientific Research with FAIR Digital Objects in the National Science Data Fabric

This perspective article presents the vision of combining findable, accessible, interoperable, and reusable (FAIR) Digital Objects with the National Science Data Fabric (NSDF) to enhance data accessibility, scientific discovery, and education. Integrating FAIR Digital Objects into the NSDF overcomes data access barriers and facilitates the extraction of machine-actionable metadata in alignment with FAIR principles. The article discusses examples of climate simulations and materials science workflows and establishes the groundwork for a dataflow design that prioritizes inclusivity, web-centricity, and a network-first approach to democratize data access and create opportunities for research and collaboration in the scientific community.

这篇观点文章提出了将可发现，可访问，可互操作和可重复使用的（公平）数字对象与国家科学数据结构（NSDF）相结合的愿景，以增强数据可访问性，科学发现和教育。将公平的数字对象集成到NSDF中，克服了数据访问障碍，并促进了与公平原则保持一致的机器可靠性元数据。本文讨论了气候模拟和材料科学工作流程的示例，并为数据流设计建立了基础，该设计优先考虑包容性，以Web为中心的性能以及将数据访问民主化并创造科学界研究与协作的网络优先方法。