国家天文科学数据中心发展思路浅析

doi:10.19788/j.issn.2096-6369.190404

Abstract

Abstract:

Following science and technology advances, astronomy research has entered a data-intensive and data-driven era. While it faces demands and challenges in the archiving, preservation, exchanging, data mining, and open access of massive astronomical data, the National Astronomical Data Center (NADC) is dedicated to improving the efficiency of scientific research based on astronomical big data by leveraging advanced information technologies. This paper summarizes the management, international exchange, and open-sharing practices of astronomy data resources in astronomy, and the overall development strategies of the NADC. We introduced Virtual Observatory technologies and astroinformatics as solutions for data-intensive and data-driven astronomical research. To strengthen the collection, management, and analysis of astronomical data resources, the NADC established a domain-specific system tailored to astronomy for the standardization of data collection, long-term data preservation, and exchange of data resources for astronomy. The NADC will conduct work in the following aspects: mining the astronomical data to form scientific data products that can be located and reused by different users; providing standardized services for data retrieval, online data mining and analysis, application interfaces under the open-sharing principle, and providing open-sharing interoperable services online, offline, and mixed modes in accordance with international standards; constructing a physically distributed, but logically unified resource platform for astronomy that appropriately distributes hardware and software resources. Furthermore, this paper presents the NADC’s practices in situation monitoring, international cooperation, and science communication domestic and abroad, and discusses future trends and looks forward to the promising prospect of the availability of NADC as a powerful scientific platform combined with the characteristics of the whole life cycle of astronomical scientific data.

Key words: scientific data, National Astronomical Data Center, development strategies, astroinformatics, virtual observatory, scientific data management, data sharing, open access

CLC Number:

G203

Linying Mi, Chenzhou Cui, Dongwei Fan, Jinxin Hao, Yanjie Xue, Changhua Li, Shanshan Li, Boliang He, Yihan Tao, Jun Han, Yunfei Xu, Hanxi Yang, Sisi Yang, Lan He, Jie Ma, Liang Liu, Xiao Chen, Junyi Chen, Hailong Zhang, Feng Liu. Brief Analysis of Development Strategies for the National Astronomical Data Center[J].Journal of Agricultural Big Data, 2019, 1(4): 37-45.

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References 16

1	崔辰州,薛艳杰,李建,等.虚拟天文台——天文学研究的科研信息化环境[J].中国科学院院刊,2013,28(4):511-518.
	Cui C Z,Xue Y J,Li J,et al.Virtual Observatory,an e-Science Environment for Astronomy,2013,Bulletin of Chinese Academy of Sciences,28 (4):511-518
2	Cui X Q,Zhao Y H,Chu Y Q,et al.The Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST)[J].Research in Astronomy and Astrophysics,2012(09):15-60.
3	Nan R,Li D,Jin C,et al.The five-hundred-meter aperture spherical radio telescope (FAST) project[J].International Journal of Modern Physics D,2011,20(06):989-1024.
4	张海龙,冶鑫晨,李慧娟,等.天文数据检索与发布综述 [J].天文研究与技术,2017,14(54),02 80-96.
	Zhang H L,Ye X C,Li H J,et al.Astronomical Data Query and Release Review [J].Astronomical Research and Technology,2017,14(54),02 80-96.
5	Genova F,Egret D,Bienaymé O,et al.The CDS information hub-On–line services and links at the Centre de Données astronomiques de Strasbourg[J].Astronomy and astrophysics supplement series,2000,143(1):1-7.
6	Wenger M,Ochsenbein F,Egret D,et al.The SIMBAD astronomical database-The CDS reference database for astronomical objects[J].Astronomy and Astrophysics Supplement Series,2000,143(1):9-22.
7	Ochsenbein F,Bauer P,Marcout J.The VizieR database of astronomical catalogues[J].Astronomy and Astrophysics Supplement Series,2000,143(1):23-32.
8	Bonnarel F,Fernique P,Bienaymé O,et al.The ALADIN interactive sky atlas-A reference tool for identification of astronomical sources[J].Astronomy and Astrophysics Supplement Series,2000,143(1):33-40.
9	Rebull L M,Desai V,Teplitz H,et al.NASA's Long-Term Astrophysics Data Archives[J].2017.In ADASS 2016 conference proceedings.
10	Matthew J.Graham, Michael J.Fitzpatrick, Thomas A.McGlynn著, 崔辰州等译, 虚拟天文台:天文学研究的工具与技术[M].中国科学技术出版社,2010.
11	Cui C Z,Zhao Y H.Research and development strategy and focuses of Chinese Virtual Observatory[J].Publications of the National Astronomical Observatories of China,2004,1:203-209.
12	肖健,于策,崔辰州,李长华,何勃亮,樊东卫,刘梁,陈肖,张海龙,王传军.天文科技领域云:大数据时代的天文教育和科研信息化平台 [J].实验技术与管理,2017,34(10),141-146.
	Xiao J,Yu C,Cui C Z,et al.AstroCloud: Astronomical education and scientific research informationization platform in big data era.Experimental Technology and Management.2017,34(10):141-146.
13	Fan D W,Tamás Budavári,Szalay Alexander S.,et al.Efficient Catalog Matching with Dropout Detection, 2013,PASP,125 (924):218-223
14	Tao Y,Zhang Y,Cui C,et al.Automated Spectral Classification of Galaxies using Machine Learning Approach on Alibaba Cloud AI platform (PAI)[J].2018. In the Astronomical Data Analysis Software and Systems (ADASS) XXVII conference,Santiago,Chile,October2017.
15	肖健,李长华,樊东卫,et al.基于云环境的天文大数据开放实验平台 [J].实验技术与管理,2016(12):158-162.
	Xiao J,Li C H,Fan D W,et al.An open experimental platform of astronomy big data based on clouding computing.Experimental Technology and Management.2016(12):158-162.
16	Cui C,Li S.IAU WG, Data-driven Astronomy Education and Public Outreach, current status and working plans[J].arXiv preprint arXiv:1801.05098,2018

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Brief Analysis of Development Strategies for the National Astronomical Data Center

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