Journal of Data and Information Science杂志

Journal of Data and Information Science杂志CSCDAMI核心

  • 知网
  • 万方
  • 维普
基本信息
  • 主管单位:

    中国科学院

  • 主办单位:

    中国科学院文献情报中心

  • 国际刊号:

    2096-157X

  • 国内刊号:

    10-1394/G2

  • 审稿周期:

  • 期刊类别:

  • 出版社:

  • 论文大类:

    信息科技

  • 论文小类:

    图书情报与数字图书馆

出版信息
  • 创刊时间:

    2008

  • 被引次数:

    1798次

  • 邮发代号:

    82-563

  • 发行周期:

    季刊

  • 出版地:

    北京市

  • 邮编:

  • 复合影响因子:0.654
  • 综合影响因子:0.423
  • 期刊分类:
  • 发文量:607篇
  • 总下载次数:32288次
杂志官网 投稿咨询 关注公众号

Journal of Data and Information Science杂志简介

Journal of Data and Information Science期刊英文名字:数据与情报科学学报(英文)

中频栏目:

RESEARCH PAPERS-50.0%-期平均发文量4篇
Perspective-33.3%-期平均发文量1篇
Research Note-33.3%-期平均发文量1篇
Research Papers-50.0%-期平均发文量3篇

低频栏目:

DATA PAPERS-16.7%-期平均发文量1篇
2024年01期其他-16.7%-期平均发文量2篇
2023年04期其他-16.7%-期平均发文量1篇
PERSPECTIVE-16.7%-期平均发文量1篇
RESEARCH NOTE-16.7%-期平均发文量1篇
2023年03期其他-16.7%-期平均发文量1篇
Editorial-16.7%-期平均发文量1篇
Opinion-16.7%-期平均发文量1篇
2023年01期其他-16.7%-期平均发文量1篇
Research Notes-16.7%-期平均发文量2篇
Letter-16.7%-期平均发文量1篇
Review-16.7%-期平均发文量1篇
2022年04期其他-16.7%-期平均发文量1篇
OPINION-16.7%-期平均发文量1篇
CALL FOR PAPERS-16.7%-期平均发文量1篇

---其他-100.0%---/有基金-100.0%--https://mc03.manuscriptcentral.com/jdis

期刊信息:本刊为:AMI核心(2022版), CSCD核心(2025-2026), 维普收录, 万方收录, 知网收录,外文期刊,第二批认定学术期刊

《Journal of Data and Information Science》期刊已被查看:

Journal of Data and Information Science栏目及发文方向

/有基金 100.0%

联系:Journal of Data and Information Science杂志社

杂志社官网:http://www.jdis.org

联系电话:010-82626611-6628

投稿邮箱:jdis@mail.las.ac.cn

主管单位:中国科学院

主办单位:中国科学院文献情报中心

地址:北京市海淀区中关村北四环西路33号

邮编:

邮发:82-563

欢迎广大学者朋友联系Journal of Data and Information Science杂志社投稿订阅!

注意:本站并非《Journal of Data and Information Science》杂志社官网,不提供征稿投稿服务,仅整理介绍该杂志内容!投稿请直接咨询杂志社!

Journal of Data and Information Science征稿须知及文章特色

1、投稿方式:在线投稿。

2、刊内网址:http://www.jdis.org(202303期)

3、投稿系统:https://mc03.manuscriptcentral.com/jdis

4、出刊日期:季刊,逢季中月出版。

2024年1月24日星期三

《数据与情报科学学报(英文版)》投稿指南

【2023年03期信息】

Submission Guidelines

Aims & Scope

JDIS focuses on data-based research oriented toward the exploration of scientific research and innovation. The main areas of interest are science of science, evidence-based policymaking, research evaluation, computational social science, and scientometrics/bibliometrics/altmetrics/informetrics. Emphasis is given to research that focuses on data, analytics, and knowledge discovery, and supports decision making and science policy. This includes modeling, innovation, data security, media and communications, and social development. Topics may include studies of metadata or full content data, text or non-textural data, structured or non-structural data, domain-specific or cross-domain data, and dynamic or interactive data.

Specific topic areas may include (but are not limited to):

• Knowledge organization

• Knowledge discovery and data mining

• Knowledge integration and fusion

• Semantic Web

• Science of science

• Bibliometrics and scientometrics

• Analytic and diagnostic informetrics

• Competitive intelligence

• Predictive analysis

• Social network analysis and metrics

• Semantic and interactively analytic retrieval

• Evidence-based policy analysis

• Intelligent knowledge production

• Knowledge-driven workflow management and decision-making

• Knowledge-driven collaboration and its management

• Domain knowledge infrastructure with knowledge fusion and analytics

• Training for data & information scientists

• Development of data and information services

Refereeing Process

Articles covering the topics or themes mentioned above will be refereed through a single-blind peer review process.

Manuscripts Categories

• Research Articles: original research work or a comprehensive and in-depth analysis of a topic (around 5,000 to 8,000 words)

• Review Articles: manuscripts that provide a novel synthesis of a research area (around 5,000 to 10,000 words)

• Research notes: short data-based discussions of research findings of interest to the wider community.

• Perspectives: forward-looking viewpoints that advocate important future directions in the field (around 2,000 to 3,000 words)

• Commentaries: call attention to published articles, books, or reports (around 1,000 to 2,000 words)

• Letters to the Editor: comments on previously published articles in JDIS, or short research reports (around 1,000 to 2,000 words)

• Opinions: pieces to present ideas, discuss recent books, propose arguments, or initiate debates (around 1,000 to 3,000 words)

• Editorial: editors or guest editors may occasionally provide background information on an issue or an event

Copyright

All contributions published in JDIS will be under a Creative Commons Attributions license, with the default as CC-BY.

Notes for Intending Submissions

A guide for authors and other relevant information, including submitting papers online, is available at www.jdis.org. For any questions, you can e-mail the Office at jdis@mail.las.ac.cn.

The JDIS Editorial Office

National Science Library, Chinese Academy of Sciences No 33, Beisihuan Xilu, Zhongguancun, Haidian District, Beijing 100190, P.R. China

Website: www.jdis.org


杂志收录与荣誉

Journal of Data and Information Science杂志被以下数据库收录:

知网收录:INSPEC,CSCD,WJCI,AMI外文刊核心

期刊荣誉:
该刊被以下数据库收录:INSPEC 科学文摘(英)(2025)CSCD 中国科学引文数据库来源期刊(2023-2024年度)WJCI 科技期刊世界影响力指数报告(2024)来源期刊
《中国人文社会科学期刊AMI综合评价报告》:2018版外文刊入库;2022版外文刊核心
期刊荣誉:中国最具国际影响力学术期刊;

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