收稿日期: 2014-12-25
修回日期: 2015-04-20
网络出版日期: 2015-05-05
Study on the Effect of Big Data on the Process of Biomedical Information Service
Received date: 2014-12-25
Revised date: 2015-04-20
Online published: 2015-05-05
陈锐 , 冯占英 , 李焱 , 陈建青 , 董瑞玉 . 大数据对生物医学信息服务各环节的影响研究[J]. 图书情报工作, 2015 , 59(9) : 68 -72,63 . DOI: 10.13266/j.issn.0252-3116.2015.09.010
[Purpose/significance] In order to help the biomedical information service adapting to the development of big data, the corresponding exploratory advices are promoted. [Method/process] The current research of the combina-tion between dig data and biomedicine is summarized. And several application examples are introduced. The corresponding change of medical information needs due to big data is pointed.It is analyzed that the big data has made effects on the each step during the process of data resource, acquisition, storage, organization, analysis and visualization etc. [Result/conclusion] The change in the every steps of the biomedical information services has occurred. The exploratory advices are stated in the end with respects to the idea, content, technique, talent, system and cooperation.
Key words： big data; biomedicine; information service; data curation; data citation
[1] O'Driscoll A, Daugelaite J, Sleator R D. 'Big data', Hadoop and cloud computing in genomics[J]. Journal of Biomedical Informatics, 2013, 46(5):774-781 .
[2] Young S D. A "big data" approach to HIV epidemiology and prevention[J]. Preventive Medicine, 2015, 70(11):17-18 .
[3] Huang Tao, Lan Liang, Fang Xuexian, et al. Promises and challenges of big data computing in health sciences[J]. Big Data Research, 2015, 2(1):2-11 .
[4] Goossens K, Van Uytfanghe K, Twomey P J. Monitoring laboratory data across manufacturers and laboratories—A prerequisite to make "big data" work[J]. Clinica Chimica Acta, 2015,445(3):12-18 .
[5] Ramos-Casals M, Brito-Zerón P, Kostov B. Google-driven search for big data in autoimmune geoepidemiology:Analysis of 394,827 patients with systemic autoimmune diseases[J]. Autoimmunity Reviews, 2015,14(8):670-679.
[6] Skrvseth S O, Augestad K M, Ebadollahi S. Data-driven approach for assessing utility of medical tests usingelectronic medical records[J]. Journal of Biomedical Informatics,2015,53(2):270-276
[7] 宁康,陈挺. 生物医学大数据的现状与展望[J].科学通报, 2015,60 (5/6):534-546 .
[8] 王震寰. 计算医学——应对大数据的挑战向临床转化[J]. 蚌埠医学院学报, 2014,39 (1):1-2.
[9] 陈锐,冯占英. 大数据时代医学专业图书馆面临的挑战与对策[J]. 中华医学图书情报杂志, 2014,23(1):2-6.
[10] 张奇志,尚武.大数据时代医学图书馆特色服务的机遇与挑战[J]. 医学信息学杂志, 2014,35(3):75-78.
[11] Analyze a whole genome in a few hours instead of waiting weeks for results[EB/OL].[2015-04-11]. http://www.bina.com/
[12] Hu Tao, Du Qingyun, Ren Fu. Spatial analysis of the home addresses of hospital patients with hepatitis B infection or hepatoma in Shenzhen, China from 2010 to 2012[J]. International Journal of Environmental Research and Public Health, 2014,11(3):3143-3155.
[13] Wang Zhensheng, Du Qingyun, Liang Shi.Analysis of the spatial variation of hospitalization admissions for hypertension disease in Shenzhen, China[J]. International Journal of Environmental Research and Public Health, 2014,11(1):713-733.
[14] 探索实践经验分享:大数据如何服务临床[EB/OL].[2014-12-29].http://news.hc3i.cn/art/201412/32309.htm.
[15] 中科院和国家自然科学基金委发布开放获取政策[EB/OL].[2014-05-15].http://ir.las.ac.cn/notice.jsp.
[16] What is DataONE? [EB/OL].[2015-04-10].https://www.dataone.org/what-dataone.
[17] About[EB/OL].[2015-04-20].http://dataconservancy.org/about/.
[18] Data Curation Education in Research Centers Program (DCERC) [EB/OL]. [2015-04-20].http://cirssweb.lis.illinois.edu/Project/project-details.php?id=5.
[19] 电子病历做出金子生意 Practice Fusion从医疗大数据挖金矿[EB/OL].[2014-12-20].http://supplier.hc3i.cn/art/201312/27902.htm.
[20] General policies[EB/OL]. [2015-04-13].http://www.sciencemag.org/site/help/authors/ policies.xhtml.
[21] Manuscript formating guide [EB/OL]. [2015-04-15].http://www.nature.com/nature/authors/gta/.
/
| 〈 |
|
〉 |
