图书情报工作 ›› 2018, Vol. 62 ›› Issue (1): 140-142.DOI: 10.13266/j.issn.0252-3116.2018.01.018

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新时代情报学与情报工作的新定位与新认识——“情报学与情报工作发展论坛(2017)”侧记与思考

初景利   

  1. 中国科学院文献情报中心 北京 100190;中国科学院大学 北京 100049
  • 收稿日期:2017-12-15 出版日期:2018-01-05 发布日期:2018-01-05
  • 作者简介:初景利(ORCID:0000-0003-0723-3985),出版运营总监,图书情报与档案管理系主任,教授,博士生导师,E-mail:chujl@mail.las.ac.cn

The New Orientation and New Understanding of the Information Science and Information Work in the New Era-Some Notes and Thoughts of the “2017 Forum of the Information Science and Information Work”

Chu Jingli   

  1. National Science Library of CAS, Beijing 100190;University of Chinese Academy of Sciences, Beijing 100049
  • Received:2017-12-15 Online:2018-01-05 Published:2018-01-05

摘要: [目的/意义] 探寻新时代情报学与情报工作的内涵,重新认识情报学与情报工作当前和未来的新定位。[方法/过程] 总结"情报学与情报工作发展论坛(2017)",解读《情报学与情报工作发展南京共识》,提出情报学与情报工作未来发展的主要特点与总体趋向。[结果/结论] 在变化的时代面前,情报学与情报工作需要转型与变革,突破以文献为基础的学科固有范式,拓展以情报交流为特征的学科边界,从而以智能情报分析为核心,以技术开发应用为手段,以大数据为核心能力,以数据科学为新的增长点,构建情报学与情报工作新的核心能力与竞争力。

关键词: 情报学, 情报工作, 情报分析, 大数据, 数据科学

Abstract: [Purpose/significance] This paper aims at exploring the connotation of the information science and information work in the new era, and rethinking the new orientation of the information science and information work.[Method/process] This paper summarized the "2017 Forum of the Information Science and Information Work", and explained the Nanjing Consensus of the Information Science and Information Work, the main features and overall trends of the future development of the information science and information work.[Result/conclusion] In changing times, the information science and information work must be transformed and changed to break through the tradition paradigm of the subject based on documents. The subject boundary of the information communication should be broadened, and the new core capability and the competitive force of the information science and information work should be developed by taking the information analysis as the core method, the IT development achievements as the means, the big data as the core capability, and the data science as a new growth point.

Key words: information science, information work, information analysis, big data, data science

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