A VO-driven Astronomical Data Grid in China
Chenzhou Cui, Boliang He, Yang Yang, Yongheng Zhao

TL;DR
This paper discusses the development of a VO-driven astronomical data grid in China to manage, share, and enable multi-wavelength science for large astronomical datasets, integrating IVOA interoperability technologies.
Contribution
It introduces a new data grid environment tailored for Chinese astronomical projects, enhancing data management and interoperability in the era of big data.
Findings
Progress on LAMOST data flow integration
Architecture of the Chinese astronomical data grid
Support for VO standards and multi-wavelength science
Abstract
With the implementation of many ambitious observation projects, including LAMOST, FAST, and Antarctic observatory at Doom A, observational astronomy in China is stepping into a brand new era with emerging data avalanche. In the era of e-Science, both these cutting-edge projects and traditional astronomy research need much more powerful data management, sharing and interoperability. Based on data-grid concept, taking advantages of the IVOA interoperability technologies, China-VO is developing a VO-driven astronomical data grid environment to enable multi-wavelength science and large database science. In the paper, latest progress and data flow of the LAMOST, architecture of the data grid, and its supports to the VO are discussed.
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Taxonomy
TopicsAstronomical Observations and Instrumentation · Advanced Computational Techniques and Applications · Inertial Sensor and Navigation
