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.
@article{arxiv.2112.06479,
title = {Toward Democratizing Access to Facilities Data: A Framework for Intelligent Data Discovery and Delivery},
author = {Yubo Qin and Ivan Rodero and Manish Parashar},
journal= {arXiv preprint arXiv:2112.06479},
year = {2021}
}