Zhang Hailong, Ye Xinchen, Li Huijuan, Wang Jie, Wang Wanqiong, Tohtonur, Nie Jun, Cui Chenzhou, Liu Liang, Chen Junyi, Chen Xiao, Xue Yansong, He Boliang, Li Changhua, Zhao Qing, Xiao Jian, Fan Dongwei, Cao Zihuang, Li Shanshan, Mi Linying, Yang Zherui. Astronomical Data Query and Release Review[J]. Astronomical Research and Technology, 2017, 14(2): 212-228.
Citation: Zhang Hailong, Ye Xinchen, Li Huijuan, Wang Jie, Wang Wanqiong, Tohtonur, Nie Jun, Cui Chenzhou, Liu Liang, Chen Junyi, Chen Xiao, Xue Yansong, He Boliang, Li Changhua, Zhao Qing, Xiao Jian, Fan Dongwei, Cao Zihuang, Li Shanshan, Mi Linying, Yang Zherui. Astronomical Data Query and Release Review[J]. Astronomical Research and Technology, 2017, 14(2): 212-228.
  • Astronomical big data becomes the challenges for astronomy research. The challenges include how to archive, query and manage the massive observational and processed data efficiently and timely, how to accelerate the output of astronomy research. Analysis and management of the big astronomical data based on information technologies will help the astronomers to understand our universe. The Virtual Observatory (VO) provides protocols and standards on linking global astronomical data seamlessly and transparently, and VO protocols normalized publish and query methods of astronomical data. This paper summarizes astronomical data release and retrieval of global observation facilities from mainstream observatories.
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