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Data & Policy

SCIE

国际简称:DATA POLICY  参考译名:数据与政策

主要研究方向:PUBLIC ADMINISTRATION  非预警期刊  审稿周期:12 Weeks

《数据与政策》(Data & Policy)是一本由Cambridge University Press出版的以PUBLIC ADMINISTRATION为研究特色的国际期刊,发表该领域相关的原创研究文章、评论文章和综述文章,及时报道该领域相关理论、实践和应用学科的最新发现,旨在促进该学科领域科学信息的快速交流。该期刊是一本未开放期刊,近三年没有被列入预警名单。

  • 3区 中科院分区
  • Q2 JCR分区
  • 75 年发文量
  • 2.6 IF影响因子
  • 未开放 是否OA
  • English 出版语言

Data&Policy is an international academic journal focused on data science, policy analysis, and their intersection. The journal aims to provide a communication platform for researchers, policymakers, and practitioners to explore how data affects the policy-making process and how policies shape the collection, management, and use of data. It is committed to publishing high-quality research results that are not only innovative in theory, but also operable in practice, and can have a positive impact on policy formulation and implementation.

The magazine covers a wide range of content, including but not limited to data governance, data privacy and security, data-driven policy analysis, and the application of data science in public policy. It encourages interdisciplinary research and welcomes submissions from scholars in various fields such as economics, sociology, computer science, statistics, and political science. The readership of the magazine includes academic researchers, government officials, members of non-governmental organizations, and professionals from the private sector. The editorial team of the magazine is composed of internationally renowned scholars who have a profound understanding and rich experience in the fields of data science and policy analysis. The magazine adopts a strict peer review system to ensure that the published articles have high standards of academic quality and research depth. In addition, the magazine actively collaborates with international organizations such as UNESCO and the International Commission on Science and Technology Data (CODATA) to promote international exchange and cooperation in data policies.

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Data & Policy期刊信息

  • ISSN:2632-3249
  • 出版语言:English
  • 是否OA:未开放
  • 出版地区:United Kingdom
  • 是否预警:否
  • 出版商:Cambridge University Press
  • Gold OA文章占比:100.00%
  • 研究类文章占比:94.67%

Data & Policy CiteScore评价数据(2026年6月最新版)

CiteScore SJR SNIP CiteScore 指数
4.2 0.668 1.202
学科类别 分区 排名 百分位
大类:Social Sciences 小类:Social Sciences (miscellaneous) Q1 124 / 744

83%

大类:Social Sciences 小类:Public Administration Q2 76 / 248

69%

大类:Social Sciences 小类:Artificial Intelligence Q2 230 / 570

59%

大类:Social Sciences 小类:Computer Science (miscellaneous) Q2 76 / 179

57%

名词解释:CiteScore 是衡量期刊所发表文献的平均受引用次数,是在 Scopus 中衡量期刊影响力的另一个指标。当年CiteScore 的计算依据是期刊最近4年(含计算年度)的被引次数除以该期刊近四年发表的文献数。例如,2022年的 CiteScore 计算方法为:2022年的 CiteScore =2019-2022年收到的对2019-2022年发表的文件的引用数量÷2019-2022年发布的文献数量 注:文献类型包括:文章、评论、会议论文、书籍章节和数据论文。

Data & Policy中科院评价数据

《新锐期刊分区表》(2026年3月发布)

Top期刊 综述期刊 大类学科 小类学科
否 否 管理学 3区 PUBLIC ADMINISTRATION 公共管理 3区

Data & Policy JCR评价数据

2025-2026年最新版

按JCI指标学科分区 收录子集 分区 排名 百分位
学科:PUBLIC ADMINISTRATION ESCI Q2 35 / 97

64.4

学科:PUBLIC ADMINISTRATION ESCI Q2 33 / 97

66.49

Data & Policy历年数据统计

影响因子
中科院分区

Data & Policy中国学者发文选摘

Data & Policy同类期刊

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