图书情报知识 ›› 2018, Vol. 0 ›› Issue (6): 29-36.doi: 10.13366/j.dik.2018.06.029

• 博士论坛 • 上一篇    下一篇

从数据科学视角看情报学与数据的关系

聂磊,王继民   

  • 出版日期:2018-11-10 发布日期:2018-11-10

Rethinking the Relationship between Information Science and Data from the Perspective of Data Science

  • Online:2018-11-10 Published:2018-11-10

摘要:

数据科学作为一个独立领域的兴起,为思考情报学与数据的关系提供了新的视角。本文使用内容分析法,在数据科学知识框架下,对比了情报学、计算机科学、统计学和数据科学的核心课程设置。结果显示,情报学知识结构与数据科学知识框架高度契合,文章认为这与二者都在应用环节将Intelligence视为最终目标相关,但相较于数据科学,情报学目前更多地处理“中小数据”,“对数据管理”并“用数据说话”。同时,课程设置的对比还揭示出情报学与数据关系的两种可能性。在研究过程中,情报学可以更多地“让数据说话”,即通过数据本身取得更多发现。在研究问题上,情报学可以“助数据说话”,使数据更好地得到应用。而情报学与数据关系的可能性也为自身学科建设提供了新的可能性。

关键词: 情报学, 数据科学, 数据, 知识结构, 核心课程设置

Abstract:

As an independent and emerging field, data science provides a new perspective for considering the relationship between information science and data. By using the content analysis method, this study compared the core curriculum settings of information science, computer science, statistics and data science in the knowledge framework of data science. Results indicate that the knowledge structure of information science is highly compatible with the knowledge framework of data science,which is partly because both of them regard intelligence as the ultimate goal in application. Compared with data science, information science pays more attention to the use of small and mediumsized data and data management in orde to let data speak. Moreover, results reveal two possibilities for the relationship between information science and data: (1) in the researching process, information science can “let data speak”, which means more discoveries can be made directly from data; (2) in the researching issues, information science can “help data speak”, which can improve the use of data. The new relationship provides a new possibility for the discipline construction of information science.

Key words: Information science, Data science, Data, Knowledge structure, Core curriculum settings