孟祥保,常娥,叶兰.数据素养研究:源起、现状与展望[J].中国图书馆学报,2016,42(2):109~126
Data Literacy Research: Origins, Progress and Prospects
数据素养研究:源起、现状与展望
Received:October 25, 2015  Revised:November 26, 2015
DOI:10.13530/j.cnki.jlis.162008
Key words:Data literacy  Data literacy education  Research data  Data curation  User service
中文关键词:  数据素养  数据素养教育  科研数据  数据管理  用户服务
基金项目:本文系教育部人文社会科学研究青年基金项目“基于学术交流的高校图书馆科研服务模式与保障研究”(编号:15YJC870017)和国家社会科学基金青年项目“图书馆资源组织中的数据关联机制研究”(编号:14CTQ005)的研究成果之一
Author NameAffiliationE-mail
MENG Xiangbao 东南大学图书馆 江苏 南京 211189 meng_xb@163.com 
CHANG E 东南大学图书馆 江苏 南京 211189  
YE Lan 深圳大学图书馆 广东 深圳 518060  
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Abstract:
With the development of data-intensive research paradigm and the increasing influences of big data, data literacy has become one of the essential competencies for researchers and librarians. Data literacy also is one of the essential elements of research data management service. The purpose of this paper is to sketch out the general tendencies, gaps and opportunities of data literacy in order to delineate the findings so far and suggest directions for future research.
    The paper performs a thorough search in the following databases: Web of Science, Library and Information Science Abstracts, EBSCO Academic Search Premier, Emerald Insight, Elsevier ScienceDirect, ProQuest Digital Dissertations & Theses, Springer LINK, Wiley-Blackwell, Taylor & Francis SSH, China Academic Journal Network Publishing Database, and in the academic e-journals which include PLoS One, International Journal of Digital Curation, Journal of eScience Librarianship. It also browses the academic websites such as Association of Research Libraries, Association of College & Research Libraries to capture data literacy literatures. In addition, research projects on data literacy in the HiResearch Global Research Projects database are browsed. “Data literacy”, “science data literacy”, “research data literacy”, “data information literacy” and “数据素养” are selected as search terms in subject search. Therefore, the types of selected literatures consist of articles, academic websites, dissertations, scholarly monographs and research projects. The retrieval deadline is September 2015. At last, 115 related literatures are identified and selected for analysis.
    The main research methods are content analysis and inductive method. It tries to summarize and analyze the related literature following the logical structure of “origin-progress-prospects”.
    The literature review consists of three sections. Section 1 tries to explore and explain the origin of data literacy which includes data-intensive scientific paradigm development, researcher’s requirement of data curation in the research process and library’s data management service practices, for example, data literacy education, constructing data infrastructure, setting data librarian position. Section 2 summarizes the basic data literacy research contents as follows: 1) data literacy concept is defined from two perspectives: one is data curation focusing on research process, and the other focuses on research data use and reuse. 2) Researcher’s requirements of data management consist of data creation, data storage, data organization, data citation, data publishing and data ethics. 3) The research on users’ behaviors of data curation focuses on the researcher’s behaviors and attitudes of scientific data publishing, citation and sharing in the research process. 4) The research projects and scholarly monographs of data literacy offer teaching materials and guidance to education practices. The teaching cases of data literacy have the characteristics of disciplinization and embeddedness. Teaching strategies are also an integral part of data literacy. On the whole, the research results of data literacy have three features: firstly, research paths can be divided into two parts: one is data curation based on research lifecycle, and the other is user behavior based on literacy. Secondly, theoretical research and empirical research are highly interrelated and mutually reinforcing. Thirdly, on methodology, it focuses on the combination of quantitative and qualitative methods, such as literature study, case study, questionnaires and in-depth interview. Section 3 proposes an integrated framework of data literacy research according to the characteristic of the current research content. Then it dwells on the five urgent and key research directions, namely users’ needs and behavior of data curation, conceptual model of data literacy, influencing factors of data literacy, data literacy education and data literacy evaluation. Meanwhile, it illustrates the inter relationship among the five research directions. Additionally, it presents a few suggestions such as research view, research approach, research methods, data resource and results application for further research. 2 figs. 5 tabs. 77 refs.
中文摘要:
      数据素养是科研人员和图书馆员的核心素养之一,是透视数据管理服务研究领域的一个关键概念。本文通过对相关文献的系统综述和归纳分析,将数据素养目前的研究内容分为数据素养内涵、数据素养需求、数据利用行为和数据素养教育四个方面。在研究视角上,可分为基于科研生命周期的数据管理研究路径和基于信息素养的用户行为研究路径;研究内容上,理论研究与实践调查相互促进;研究方法上,注重定性研究与定量研究相结合。针对现有研究内容及不足,本文建立了一个整合的研究框架,提出未来研究的五个方向:用户数据需求与利用行为,数据素养概念模型,数据素养影响因素,数据素养教育,数据素养评价,以期为数据素养研究提供思路借鉴,推动数据管理服务深入发展。图2。表5。参考文献77。
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