西南石油大学学报(社会科学版) ›› 2018, Vol. 20 ›› Issue (1): 58-64.DOI: 10.11885/j.issn.1674-5094.2017.09.27.03

• 经济与管理 • 上一篇    下一篇

大数据背景下的社区社会工作服务探索

谌润   

  1. 江西师范大学政法学院, 江西 南昌 330022
  • 收稿日期:2017-09-27 出版日期:2018-01-01 发布日期:2018-01-01
  • 作者简介:谌润(1990-),男(汉族),湖北黄冈人,硕士,研究方向:社会工作.

Exploration of Community Social Service in the Big Data Context

SHEN Run   

  1. College of Political Science and Law, Jiangxi Normal University, Nanchang Jiangxi, 330000, China
  • Received:2017-09-27 Online:2018-01-01 Published:2018-01-01

摘要: 大数据信息技术的诞生,给传统行业的发展带来了革命性的变化,借助大数据这个新型信息技术平台,将社区社会工作与大数据技术进行有机融合,必将推动社区社会工作服务的发展。大数据思维强调总体数据分析、相关关系以及动态跟进;在服务模式上注重对数据信息的主动式发掘,防患于未然;在理念上提倡开放、共享,这些都凸显了大数据技术在社区社会工作服务中的优势。在具体的运用途径上,首先是数据平台搭建、信息收集,然后是数据信息分析,最后是依托数据信息进行问题预防。独特优势存在的同时,大数据也存在泄漏安全、惯性依赖、信息垃圾、人才匮乏几大隐忧。因此,需要重视相关法律的完善,在技术运用时将大数据思维和传统思维有机结合,大力培养大数据人才,以应对可能出现的问题。

关键词: 大数据, 社区, 社会工作服务, 信息技术, 数据挖掘

Abstract: The emerging of the big data technology brought revolutionary changes to the development of traditional industries. With the new information technology,community social service can be integrated with big data,which may boost its development. The idea of big data emphasizes analysis of data,correlation relationship and dynamic follow-up service in general. On the mode of service,big data focus on the initiative exploration of the data information,and preventive actions;on the principle, big data emphasize openness and sharing. All of the above show the advantage of big data in community social service. As for the steps of big data application in practice,the first is to build the data platform and to collect information;the second step is to analyze data information,and the last step is problem prevention based on the data information. The big data have an exclusive advantage,but there also exist multiple hidden perils such as information revealing,inertial dependence,information garbage and the lack of talents. Therefore,we need to put more emphasis on the perfection of relevant laws,to combine big data concept and conventional thinking and to make efforts to talents training in this area in order to solve possible problems.

Key words: big data, community, social service, information technology, data mining

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