Title | Toward Democratizing Access to Facilities Data: A Framework for Intelligent Data Discovery and Delivery |
Publication Type | Journal Article |
Year of Publication | 2022 |
Authors | Qin, Y, Rodero, I, Parashar, M |
Journal | Computing in Science & Engineering |
Volume | 24 |
Pagination | 52–60 |
Keywords | Data collection, Data models, Data transfer, Distributed databases, Observatories |
Abstract | 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. |
DOI | 10.1109/MCSE.2022.3179408 |