国家重要生物安全监测数据整合方案设计

doi:10.11853/j.issn.1003.8280.2017.06.002

中国媒介生物学及控制杂志 ›› 2017, Vol. 28 ›› Issue (6): 523-525.DOI: 10.11853/j.issn.1003.8280.2017.06.002

国家重要生物安全监测数据整合方案设计

岳玉娟, 任东升, 王君, 刘起勇

中国疾病预防控制中心传染病预防控制所, 传染病预防控制国家重点实验室, 北京 102206

收稿日期:2017-06-22 出版日期:2017-12-20 发布日期:2017-12-20
通讯作者: 刘起勇,Email:liuqiyong@icdc.cn
作者简介:岳玉娟,女,博士,助理研究员,从事气候与健康研究,Email:yueyujuan@icdc.cn
基金资助:
国家重点研发计划（2016YFC1200802）

Design of integration scheme of the key national surveillance data on bio-safety

YUE Yu-juan, REN Dong-sheng, WANG Jun, LIU Qi-yong

State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China

Received:2017-06-22 Online:2017-12-20 Published:2017-12-20
Supported by:
Supported by the National Key Research and Development Plan(No. 2016YFC1200802)

摘要/Abstract

摘要： 目的通过研制相关标准规范，对国家重要生物安全监测数据进行处理整合。方法设计以数据为核心、基于数据自身特点的整合方案。结果在分析现有国家重要监测数据特征的基础上，基于时空特征、生物学特征对多元、多平台、多尺度及动态化的全国重要监测数据进行抽取、转换、清洗和整合，形成覆盖面广、结构与标准统一、内容完整的数据库。结论基于数据的时空特征和生物学特征的整合方案，可有效地整合国家重要监测数据，为构建国家重要生物安全监测数据查询及可视化平台建设提供有力的数据支持。

关键词: 时空特征, 生物学特征, 数据整合, 监测数据库

Abstract: Objective To formulate relevant standards and specifications, and then to design integration plans for the key national surveillance data on bio-safty. Methods The integration scheme was proposed based on data characteristics. Results Based on the analysis of the characteristics of the existing national important bio-safty surveillance data, the multi-source, multi-platform, multi-scale and dynamic data were extracted, sorted, transformed, and integrated according to the rules of spatio-temporal features and biological characteristics, and then the database, which has the characteristics of wide coverage, unified structure and standard and complete content, was formed. Conclusion The integration scheme based on spatio-temporal features and biological characteristics, can effectively achieve the integration of national important surveillance data. It can provide strong support for data query and visualization platform construction of the key national surveillance data on bio-safty.

Key words: Spatio-temporal, Biological characteristic, Data integration, Surveillance database

中图分类号:

R181

岳玉娟, 任东升, 王君, 刘起勇. 国家重要生物安全监测数据整合方案设计[J]. 中国媒介生物学及控制杂志, 2017, 28(6): 523-525.

YUE Yu-juan, REN Dong-sheng, WANG Jun, LIU Qi-yong. Design of integration scheme of the key national surveillance data on bio-safety[J]. Chines Journal of Vector Biology and Control, 2017, 28(6): 523-525.

参考文献

[1] 李伟华,郑彦宁,刘志辉. 国内外数据整合研究进展分析[J]. 数字图书馆论坛, 2015(6):54-61.
[2] 黄华南. 基于GIS的国土房产数据整合方案设计[J]. 测绘通报, 2007(10):64-66.
[3] 张李军,刘寿福,黄东海,等. 南京市城乡地籍数据整合若干问题探讨[J]. 安徽农业科学, 2015, 43(1):295-297.
[4] 刘志杰,金秉福,张瑞端,等. 海底沉积物碎屑矿物数据整合技术研究[J]. 海洋通报, 2015, 34(6):657-662.
[5] Ma Z,Hart MM,Redmond RL. Mapping vegetation across large geographic areas:integration of remote sensing and GIS to classify multisource data[J]. Photogramm Eng Rems, 2001, 67(3):295-308.
[6] 李勇,包世泰,周品. ECDIS与GIS数据集成研究[J]. 测绘科学, 2007, 32(4):135-137.
[7] Karnatak HC,Shukla R,Sharma VK,et al. Spatial mashup technology and real time data integration in geo-web application using open source GIS-a case study for disaster management[J]. Geocarto Int, 2012, 27(6):499-514.
[8] Salleh SA,Hamid JRA,Ariffin IM. Investigation of potential integration of spectroradiometer data with GIS technology:the spectro-GIS tools[J]. IOP Conf Ser:Earth Environ Sci, 2014, 18(1):012053.
[9] Seoane JA,Aguiar-Pulido V,Munteanu CR,et al. Biomedical data integration in computational drug design and bioinformatics[J]. Curr Comput Aided Drug Des, 2013, 9(1):108-117.
[10] Goble C,Stevens R. State of the nation in data integration forbioinformatics[J]. J Biomed Inform, 2008, 41(5):687-693.
[11] Rezola A,Pey J,Tobalina L,et al. Advances in network-based metabolic pathway analysis and gene expression data integration[J]. Brief Bioinform, 2015, 16(2):265-279.
[12] Fagan A,Culhane AC,Higgins DG. A multivariate analysis approach to the integration of proteomic and gene expression data[J]. Proteomics, 2007, 7(13):2162-2171.
[13] De la Prieta F,Rodríguez S,Bajo J,et al. Data integration in cloud computing environment[C]//Leyva López JC, Espín Andrade RA,Pérez B,et al. Fourth International Workshop on Knowledge Discovery,Knowledge Management and Decision Support. Mexico:Atlantis Press, 2013:407-412.
[14] 唐健,沈陈华,周国峰,等. 国土资源数据整合方案设计及其实现研究[J]. 中国土地科学, 2009, 23(9):72-78.

国家重要生物安全监测数据整合方案设计

Design of integration scheme of the key national surveillance data on bio-safety

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 4

编辑推荐

Metrics

本文评价

[1]	岳玉娟, 吴海霞, 任东升, 王君, 刘起勇. 国家重要监测数据整合平台的建设[J]. 中国媒介生物学及控制杂志, 2019, 30(4): 387-390.
[2]	王德全, 刘渠, 梁克峰, 周建明, 周俊立, 刘晓娜. 新蚊媒病毒南定病毒的生物学特征研究[J]. 中国媒介生物学及控制杂志, 2016, 27(5): 443-446.
[3]	王海峰, 杜国义, 史献明, 董国润, 刘合智. 河北省鼠疫自然疫源地鼠疫菌生物学特征的研究概述[J]. 中国媒介生物学及控制杂志, 2010, 21(6): 638-639.
[4]	海荣;魏建春;蔡虹;周艳;张建华. 四川石渠县鼠疫耶尔森菌的分子生物学特征[J]. 中国媒介生物学及控制杂志, 2002, 13(1): 48-52.