학술논문

Toward Democratizing Access to Facilities Data: A Framework for Intelligent Data Discovery and Delivery
Document Type
Periodical
Source
Computing in Science & Engineering Comput. Sci. Eng. Computing in Science & Engineering. 24(3):52-60 Jun, 2022
Subject
Computing and Processing
Bioengineering
Communication, Networking and Broadcast Technologies
Data collection
Data models
Distributed databases
Observatories
Data transfer
Language
ISSN
1521-9615
1558-366X
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.