农业图书情报学刊 ›› 2016, Vol. 28 ›› Issue (6): 93-99.doi: 10.13998/j.cnki.issn1002-1248.2016.06.020

• 工作研究 • 上一篇    下一篇

基于大数据视觉的图书馆读者私隐问题研究

罗赛峰   

  1. 益阳市图书馆,湖南 益阳 413000
  • 收稿日期:2015-12-08 出版日期:2016-06-05 发布日期:2016-06-27
  • 作者简介:罗赛峰(1968-),女,本科,中级,湖南益阳市图书馆,研究方向:图书馆组织和管理。

Research on the Privacy of Library Readers Based on big data

LUO Sai-feng   

  1. Yiyang Library, Hunan Yiyang 413000, China
  • Received:2015-12-08 Online:2016-06-05 Published:2016-06-27

摘要: 图书馆科学评估用户对于个人信息披露的容忍度,合理量化用户隐私泄露的可控范围,可有效加强对用户隐私数据和隐私权的保护,为图书馆大数据服务的信息处理和隐私保护实践提供理论指导和测量工具。文章通过问卷调查,从信息类型敏感性、信息接收敏感性和信息使用敏感性3个维度调查用户在图书馆大数据服务环境下的隐私泄露容忍度。在解析图书馆用户隐私泄露风险及成因的基础上,通过相关分析、回归分析等统计方法,实证研究图书馆用户隐私泄露容忍度的现状、特点以及影响因素。研究表明,图书馆用户隐私泄露容忍度总体水平偏低,存在显著个体差异,受年龄、职业、受教育程度和收入水平等人口统计学因素的显著影响。图书馆应从提高大数据服务的规范化、增强大数据服务的透明度、改善大数据服务的安全性、实现大数据服务的兼容性、保障大数据服务的人性化、提升大数据服务的应变力6个方面保障用户合法权益,开展图书馆大数据服务。

关键词: 大数据, 图书馆, 隐私泄露, 容忍度

Abstract: Library should strengthen the protection of library users’ privacy, scientifically evaluate the users’ privacy leakage tolerance, and reasonably quantify the controllable range of users’ privacy leakage, and then provide theoretical guidance and measurement tool for the information processing and privacy protection during library’s big data service. Through questionnaire survey, this paper investigated the users’ privacy leakage tolerance under the background of library’s big data service from three dimensions including information style sensitivity, information collection sensitivity and information usage sensitivity. Through analyzing the privacy leakage risks and causes, it studied empirically the current situation, characteristics and influential factors of privacy leakage tolerance through correlation analysis and regression analysis. The result showed that library users’ privacy leakage tolerance was overall at a moderately low level, and showed significant individual difference and was influenced by demographic factors of gender, age, occupation, education level and income level. Library should protect the users’ legitimate interest and carry out big data service from the six aspects of improving the standardization, enhancing the transparency, improving the security, realizing the compatibility, ensuring the humanization and promoting the resilience.

Key words: Big data

中图分类号: 

  • G250.76

引用本文

罗赛峰. 基于大数据视觉的图书馆读者私隐问题研究[J]. 农业图书情报学刊, 2016, 28(6): 93-99.

LUO Sai-feng. Research on the Privacy of Library Readers Based on big data[J]. , 2016, 28(6): 93-99.