Institutional Repository of Computer Application Research Laboratory
| Towards an astronomical science platform: Experiences and lessons learned from Chinese Virtual Observatory | |
Cui, C.1; Tao, Y.1; Li, C.1; Fan, D.1; Xiao, J.2; He, B.1; Li, S.1; Yu, C.2; Mi, L.1; Xu, Y.1; Han, J.1; Yang, S.1; Zhao, Y.1; Xue, Y.1; Hao, J.1; Liu, L.3; Chen, X.4; Chen, J.5; Zhang, H.6
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| 2020-07-01 | |
| Source Publication | ASTRONOMY AND COMPUTING
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| ISSN | 2213-1337 |
| Volume | 32Pages:100392 |
| Contribution Rank | 6 |
| Abstract | In the era of big data astronomy, next generation telescopes and large sky surveys produce data sets at the TB or even PB level. Due to their large data volumes, these astronomical data sets are extremely difficult to transfer and analyze using personal computers or small clusters. In order to offer better access to data, data centers now generally provide online science platforms that enable analysis close to the data. The Chinese Virtual Observatory (China-VO) is one of the member projects in the International Virtual Observatory Alliance and it is dedicated to providing a research and education environment where globally distributed astronomy archives are simple to find, access, and interoperate. In this study, we summarize highlights of the work conducted at the China-VO, as well the experiences and lessons learned during the full life-cycle management of astronomical data. Finally, We discuss the challenges and future trends for astronomical science platforms. (C) 2020 Elsevier B.V. All rights reserved. |
| Keyword | Big data Cloud computing Science platform Virtual observatory |
| DOI | 10.1016/j.ascom.2020.100392 |
| Indexed By | SCI |
| Language | 英语 |
| Funding Project | National Natural Science Foundation of China (NSFC)[11803055] ; NSFC[U1731125] ; NSFC[U1731243] ; NSFC[U1931132] ; Chinese Academy of Sciences (CAS)[U1731125] ; Chinese Academy of Sciences (CAS)[U1731243] ; Chinese Academy of Sciences (CAS)[U1931132] ; 13th Five-year Informatization Plan of Chinese Academy of Sciences[XXH13503-03-107] ; Astronomical Big Data Joint Research Center |
| WOS Research Area | Astronomy & Astrophysics ; Computer Science |
| WOS Subject | Astronomy & Astrophysics ; Computer Science, Interdisciplinary Applications |
| WOS ID | WOS:000571492100006 |
| Publisher | ELSEVIER |
| Funding Organization | National Natural Science Foundation of China (NSFC) ; NSFC ; Chinese Academy of Sciences (CAS) ; 13th Five-year Informatization Plan of Chinese Academy of Sciences ; Astronomical Big Data Joint Research Center |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.xao.ac.cn/handle/45760611-7/3674 |
| Collection | 计算机技术应用研究室 110米口径全可动射电望远镜（QTT）_技术成果 |
| Corresponding Author | Cui, C. |
| Affiliation | 1.Chinese Acad Sci, Natl Astron Observ, 20A Datun Rd, Beijing 100101, Peoples R China 2.Tianjin Univ, Coll Intelligence & Comp, 135 Yaguan Rd,Haihe Educ Pk, Tianjin 300350, Peoples R China 3.Chinese Acad Sci, Purple Mt Observ, 10 Yuanhua Rd, Nanjing 210033, Peoples R China 4.Chinese Acad Sci, Shanghai Astron Observ, 80 Nandan Rd, Shanghai 200030, Peoples R China 5.Chinese Acad Sci, Yunnan Observ, 396 Yangfangwang,POB 110, Kunming 650011, Yunnan, Peoples R China 6.Chinese Acad Sci, Xinjiang Astron Observ, 150 Sci 1 St, Urumqi 830011, Xinjiang, Peoples R China |
| Recommended Citation GB/T 7714 | Cui, C.,Tao, Y.,Li, C.,et al. Towards an astronomical science platform: Experiences and lessons learned from Chinese Virtual Observatory[J]. ASTRONOMY AND COMPUTING,2020,32:100392. |
| APA | Cui, C..,Tao, Y..,Li, C..,Fan, D..,Xiao, J..,...&Zhang, H..(2020).Towards an astronomical science platform: Experiences and lessons learned from Chinese Virtual Observatory.ASTRONOMY AND COMPUTING,32,100392. |
| MLA | Cui, C.,et al."Towards an astronomical science platform: Experiences and lessons learned from Chinese Virtual Observatory".ASTRONOMY AND COMPUTING 32(2020):100392. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| Cui-2020-Towards an （1993KB） | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | View Application Full Text | |
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