图书情报工作 ›› 2022, Vol. 66 ›› Issue (2): 149-151.DOI: 10.13266/j.issn.0252-3116.2022.02.016

• 书评 • 上一篇    下一篇

以大数据信息资源管理为利器,攻克食品安全监管难题——评《中国食品安全监管指数研究:理论、模型及实践》

苏新宁1, 赵乃瑄2   

  1. 1. 南京大学信息管理学院 南京 210063;
    2. 南京工业大学图书馆 南京 211816
  • 收稿日期:2021-12-21 修回日期:2021-12-29 出版日期:2022-01-20 发布日期:2022-02-11
  • 通讯作者: 赵乃瑄,教授,博士,博士生导师,通信作者,E-mail:nxzhao@njtech.edu.cn
  • 作者简介:苏新宁,教授,博士生导师。

With Big Data Information Resource Management as the Weapon, to Solve the Problems of Food Safety Supervision: Comment on Research on Food Safety Supervision Index in China: Theory, Model and Practice

Su Xinning1, Zhao Naixuan2   

  1. 1. School of Information Management, Nanjing University, Nanjing 210063;
    2. Library of Nanjing University of Technology, Nanjing 211816
  • Received:2021-12-21 Revised:2021-12-29 Online:2022-01-20 Published:2022-02-11

摘要: [目的/意义] 对《中国食品安全监管指数研究:理论、模型及实践》一书进行评介,旨在使读者了解大数据时代信息资源管理的理论、方法和实践。[方法/过程] 在大量阅读和数据挖掘的基础上对现有研究进行综述和比较,立足食品安全监管领域的信息透明问题和监管绩效难点,运用大数据挖掘、理论建模、实证研究、评价分析等系列理论方法对食品安全监管的信息透明机制和监管绩效行为进行系统解析。[结果/结论] 突出信息资源及大数据在食品安全监管中应用价值,强调以信息资源管理和数据驱动为特色的方法论体系在交叉学科中的应用;在原有分析方法的基础上提出一系列大数据挖掘、信息处理、数据建模、实证分析和评价研究方面的新应用,为信息资源管理从业人员开展工作、研究理论提供新视角、新理念、新思路和新应用。

关键词: 信息资源管理, 食品安全, 监管指数, 书评

Abstract: [Purpose/significance] This paper reviews and introduces the book Research on Food Safety Supervision Index in China:Theory, Model and Practice, aiming to make readers understand the theory, method and practice of information resource management in the era of big data. [Method/process] This paper reviewed and compared existing research on the basis of a lot of reading and data mining. Based on information transparency issues and regulatory performance difficulties in the field of food safety supervision, this paper used a series of theoretical methods such as big data mining, theoretical modeling, empirical research and evaluation analysis to systematically analyze the information transparency mechanisms and supervision performance behaviors of food safety supervision. [Purpose/significance] This paper highlights the application value of information resources and big data in food safety supervision, and emphasizes the application of the methodology system featuring information resource management and data-driven in the interdisciplinary research. On the basis of the original analysis methods, a series of new applications in the perspectives of big data mining, information processing, data modeling, empirical analysis and evaluation research are proposed, which provide new perspectives, new concepts, new ideas and new applications for information resource management practitioners to carry out their work and research theories.

Key words: information resource management, food safety, supervision index, book review

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