Toward Democratizing Access to Facilities Data: A Framework for Intelligent Data Discovery and Delivery
Toward Democratizing Access to Facilities Data: A Framework for Intelligent Data Discovery and Delivery
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DOI：
10.1109/mcse.2022.3179408
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发表时间：
2021-12
影响因子：
2.1
通讯作者：
Yubo Qin;I. Rodero;M. Parashar
中科院分区：
文献类型：
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作者：
Yubo Qin;I. Rodero;M. Parashar
大规模工具，观测站和传感器网络（即科学设施）收集的数据是许多学科中科学发现的关键推动者。但是，确保可以以民主和及时的方式访问，集成和分析这些数据仍然是一个挑战。在本文中，我们探讨了如何适应数据发现和访问的最新技术，以促进数据并为智能数据访问和发现开发概念框架。
Data collected by large-scale instruments, observatories, and sensor networks (i.e., science facilities) 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 facilitate data and develop a conceptual framework for intelligent data access and discovery.