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

TL;DR

This paper proposes a conceptual framework to improve democratized access to large-scale scientific facility data through intelligent discovery and delivery techniques, addressing current accessibility and integration challenges.

Contribution

It introduces a novel framework tailored for facility data that enhances data discovery, access, and integration using advanced techniques.

Findings

Framework enables more efficient data discovery and access

Improves democratization of scientific data usage

Addresses challenges in data integration and timely access

Abstract

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.