Toward Democratizing Access to Facilities Data: A Framework for Intelligent Data Discovery and Delivery

TitleToward Democratizing Access to Facilities Data: A Framework for Intelligent Data Discovery and Delivery
Publication TypeJournal Article
Year of Publication2022
AuthorsQin, Y, Rodero, I, Parashar, M
JournalComputing in Science & Engineering
Volume24
Pagination52–60
KeywordsData 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.

DOI10.1109/MCSE.2022.3179408