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Data Archive for Research Projects in Population Health |
Wu Sizhu1,Qian Qing1(),Zhou Wei2,Zhong Ming1,Wang Anran1,Xiu Xiaolei1,Gou Huan1,Li Zanmei1,Li Jiao1,Fang An1 |
1Institute of Medical Information/Medical Library, Chinese Academy of Medical Science & Peking Union Medical College, Beijing 100020, China 2National Population Health Data Center, Beijing 100005, China |
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Abstract [Objective] This study focuses on the design and implementation of the Population Health Data Archive (PHDA), aiming to support data curation of research projects supported by the government. [Methods] First, we analyzed the data curation characteristics of research projects on population health. Then, we constructed a data archive for their urgent needs. Our system includes flexible and scalable framework, as well as user friendly functional modules. [Results] The PHDA finished the tasks of project registration, data collection, big data high-speed transmission, security preservation, distribution of unique dataset identifiers, effective storage, access control and voucher issuance. In 2019, our system administrated 292 datasets for 14 projects from the National Special Program on Basic Works for Science and Technology. [Limitations] The PHDA could be optimized with more data semantics and deep learning technologies (i.e., intelligent data analysis services). [Conclusions] The PHDA could effectively curate and disseminate shared research data in the field of national population health.
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Received: 27 September 2020
Published: 25 December 2020
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Corresponding Authors:
Qian Qing
E-mail: qian.qing@imicams.ac.cn
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Cite this article:
Wu Sizhu, Qian Qing, Zhou Wei, Zhong Ming, Wang Anran, Xiu Xiaolei, Gou Huan, Li Zanmei, Li Jiao, Fang An. Data Archive for Research Projects in Population Health. Data Analysis and Knowledge Discovery, 2020, 4(12): 2-13.
URL:
https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.2096-3467.2020.0954 OR https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2020/V4/I12/2
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