Purpose

The purpose of this paper is to present the results of a study exploring the emerging field of data science from the library and information science (LIS) perspective.

Design/methodology/approach

Content analysis of research publications on data science was made of papers published in the Web of Science database to identify the main themes discussed in the publications from the LIS perspective.

Findings

A content analysis of 80 publications is presented. The articles belonged to the six broad categories: data science education and training; knowledge and skills of the data professional; the role of libraries and librarians in the data science movement; tools, techniques and applications of data science; data science from the knowledge management perspective; and data science from the perspective of health sciences. The category of tools, techniques and applications of data science was most addressed by the authors, followed by data science from the perspective of health sciences, data science education and training and knowledge and skills of the data professional. However, several publications fell into several categories because these topics were closely related.

Research limitations/implications

Only publication recorded in the Web of Science database and with the term “data science” in the topic area were analyzed. Therefore, several relevant studies are not discussed in this paper that either were related to other keywords such as “e-science”, “e-research”, “data service”, “data curation”, “research data management” or “scientific data management” or were not present in the Web of Science database.

Originality/value

The paper provides the first exploration by content analysis of the field of data science from the perspective of the LIS.

中文翻译：

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数据科学及其与图书馆和信息科学的关系：内容分析

目的

本文的目的是提供从图书馆和信息科学（LIS）角度探索数据科学新兴领域的研究结果。

设计/方法/方法

数据科学研究出版物的内容分析由Web of Science数据库中发表的论文组成，以从LIS角度确定出版物中讨论的主要主题。

发现

介绍了80种出版物的内容分析。这些文章分为六大类：数据科学教育和培训；数据专业人员的知识和技能；图书馆和图书馆员在数据科学运动中的作用；数据科学的工具，技术和应用；从知识管理的角度来看数据科学；从健康科学的角度来看数据科学。作者最关注数据科学的工具，技术和应用类别，其次是从健康科学，数据科学教育和培训以及数据专业人员的知识和技能的角度来看的数据科学。但是，由于这些主题密切相关，因此一些出版物可以分为几类。

研究局限/意义

仅分析了记录在Web of Science数据库中且在主题区域中带有“数据科学”一词的出版物。因此，本文没有讨论与“ e-science”，“ e-research”，“ data service”，“ datacuration”，“ research data management”或“ scientific”等其他关键字相关的若干相关研究。数据管理”或在Web of Science数据库中不存在。

创意/价值

本文从LIS的角度对数据科学领域进行了内容分析，从而提供了首次探索。