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作 者:张红春 杨涛 ZHANG Hong Chun;YANG Tao(School of Public Administration,Guizhou University,Guiyang 550025,P.R.China)
出 处:《数字图书馆论坛》2023年第1期58-65,共8页Digital Library Forum
基 金:国家社会科学基金青年项目“地方政府公务员大数据素养的结构、测度与培育路径研究”(编号:21CZZ035)资助。
摘 要:数字技术在政府治理中的广泛嵌入使得数据资源的管理利用不仅成为政府数据治理的焦点,也是对公务员现实能力的一种挑战。但是,既有研究对这一关键议题缺乏足够重视。本文尝试界定公务员数据素养概念,建立数据素养结构模型,并回答具备何种数据素养的公务员才能有效胜任大数据时代的政府数据治理工作。基于对G省37位公务员的半结构访谈,利用扎根理论方法建构公务员数据素养结构体系,据此得到测量量表。结果表明,公务员数据素养由潜在层与应用层两个层次构成,包括数据意识、数据知识、数据学习能力、数据获取能力、数据分析能力、数据应用能力六大维度。The extensive embedding of digital technology in government governance has made the management and utilization of data resources not only the focus of government data governance,but also a challenge to the practical ability of civil servants.Unfortunately,existing studies have not paid enough attention to this key issue.This article attempts to define the concept of civil servants’data literacy,establish a data literacy structure model,and answer what kind of data literacy civil servants can effectively be competent for government data governance in the era of big data.Based on semi-structured interviews with 37 civil servants in G province,the data literacy structure system of civil servants was constructed by using grounded theory,and the measurement scale was developed accordingly.The results show that the data literacy of civil servants is composed of potential layer and application layer,including six dimensions:data awareness,data learning ability,data knowledge,data acquisition ability,data analysis ability,and data application ability.
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