Data collected by large-scale instruments, observatories, and sensor networks are key enablers of scientific discoveries in many disciplines. However, ensuring that these data can be accessed, integrated, and analyzed in a democratized and timely manner remains a challenge. In this article, we explore how state-of-the-art techniques for data discovery and access can be adapted to facility data and develop a conceptual framework for intelligent data access and discovery.

翻译：大型仪器、观测台和传感器网络收集的数据是许多学科科学发现的关键促成因素,然而,确保这些数据能够以民主化和及时的方式获得、整合和分析,仍是一项挑战,在本条中,我们探讨如何使最新的数据发现和获取技术适应设施数据,并为智能数据获取和发现制定概念框架。