期刊档案
Journal of Data and Information Science
— · ISSN 2096-157X · INFORMATION SCIENCE & LIBRARY SCIENCE-
数据可追溯 · letpub-v6 · 更新于 2026-08-26期刊简介
研究范围与定位
JDIS devotes itself to the study and application of the theories, methods, techniques, services, infrastructural facilities using big data to support knowledge discovery for decision & policy making. The basic emphasis is big data-based, analytics centered, knowledge discovery driven, and decision making supporting. The special effort is on the knowledge discovery to detect and predict structures, trends, behaviors, relations, evolutions and disruptions in research, innovation, business, politics, security, media and communications, and social development, where the big data may include 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.The main areas of interest are:(1) New theories, methods, and techniques of big data based data mining, knowledge discovery, and informatics, including but not limited to scientometrics, communication analysis, social network analysis, tech & industry analysis, competitive intelligence, knowledge mapping, evidence based policy analysis, and predictive analysis.(2) New methods, architectures, and facilities to develop or improve knowledge infrastructure capable to support knowledge organization and sophisticated analytics, including but not limited to ontology construction, knowledge organization, semantic linked data, knowledge integration and fusion, semantic retrieval, domain specific knowledge infrastructure, and semantic sciences.(3) New mechanisms, methods, and tools to embed knowledge analytics and knowledge discovery into actual operation, service, or managerial processes, including but not limited to knowledge assisted scientific discovery, data mining driven intelligent workflows in learning, communications, and management.Specific topic areas may include:Knowledge organizationKnowledge discovery and data miningKnowledge integration and fusionSemantic Web metricsScientometricsAnalytic and diagnostic informetricsCompetitive intelligencePredictive analysisSocial network analysis and metricsSemantic and interactively analytic retrievalEvidence-based policy analysisIntelligent knowledge productionKnowledge-driven workflow management and decision-makingKnowledge-driven collaboration and its managementDomain knowledge infrastructure with knowledge fusion and analyticsDevelopment of data and information services
结构化分区
学科分区明细
不同版本、大类与小类分别展示,不将不同评价口径合并为一个分区值。
《新锐期刊分区表》( 2026年3月发布)
2026-03 · 3 个学科记录
| 类别 | 学科 | 分区 |
|---|---|---|
| 大类 | 计算机科学 | 2区 |
| 小类 | 计算机:跨学科应用COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | 2区 |
| 小类 | 图书情报与档案管理INFORMATION SCIENCE & LIBRARY SCIENCE | 2区 |
期刊分区表( 2025年3月升级版)
2025-03 · 3 个学科记录
| 类别 | 学科 | 分区 |
|---|---|---|
| 大类 | 计算机科学 | 2区 |
| 小类 | 计算机:跨学科应用COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | 2区 |
| 小类 | 图书情报与档案管理INFORMATION SCIENCE & LIBRARY SCIENCE | 2区 |
期刊分区表( 2023年12月旧的升级版)
2023-12 · 2 个学科记录
| 类别 | 学科 | 分区 |
|---|---|---|
| 大类 | 管理学 | 3区 |
| 小类 | 图书情报与档案管理INFORMATION SCIENCE & LIBRARY SCIENCE | 3区 |
期刊档案
出版与身份
- 期刊ISSN
- 2096-157X
- E-ISSN
- 2543-683X
- 是否OA开放访问
- Yes
- 通讯方式
- Tel: +86-10-82627304 Fax: +86-10-82627304 E-mail: jdis@mail.las.ac.cn Add:P.O. Box 2704, Beijing 100190 P.R. China
- 出版商
- Beijing Magtech Co.ltd
- 出版国家或地区
- China
- 出版语言
- English
- 出版年份
- 0
期刊档案
研究范围
- 期刊简介
- JDIS devotes itself to the study and application of the theories, methods, techniques, services, infrastructural facilities using big data to support knowledge discovery for decision & policy making. The basic emphasis is big data-based, analytics centered, knowledge discovery driven, and decision making supporting. The special effort is on the knowledge discovery to detect and predict structures, trends, behaviors, relations, evolutions and disruptions in research, innovation, business, politics, security, media and communications, and social development, where the big data may include 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.The main areas of interest are:(1) New theories, methods, and techniques of big data based data mining, knowledge discovery, and informatics, including but not limited to scientometrics, communication analysis, social network analysis, tech & industry analysis, competitive intelligence, knowledge mapping, evidence based policy analysis, and predictive analysis.(2) New methods, architectures, and facilities to develop or improve knowledge infrastructure capable to support knowledge organization and sophisticated analytics, including but not limited to ontology construction, knowledge organization, semantic linked data, knowledge integration and fusion, semantic retrieval, domain specific knowledge infrastructure, and semantic sciences.(3) New mechanisms, methods, and tools to embed knowledge analytics and knowledge discovery into actual operation, service, or managerial processes, including but not limited to knowledge assisted scientific discovery, data mining driven intelligent workflows in learning, communications, and management.Specific topic areas may include:Knowledge organizationKnowledge discovery and data miningKnowledge integration and fusionSemantic Web metricsScientometricsAnalytic and diagnostic informetricsCompetitive intelligencePredictive analysisSocial network analysis and metricsSemantic and interactively analytic retrievalEvidence-based policy analysisIntelligent knowledge productionKnowledge-driven workflow management and decision-makingKnowledge-driven collaboration and its managementDomain knowledge infrastructure with knowledge fusion and analyticsDevelopment of data and information services
- 涉及的研究方向
- INFORMATION SCIENCE & LIBRARY SCIENCE-
期刊档案
指标与活跃度
- 2025-2026最新IF(数据来源于网友提供)
- 注册或登录后,查看IF
- 2025-2026自引率
- 11.1%点击查看自引率趋势图
- 五年IF(数据来源于网友提供)
- 2.202数据由网友[糖果9042]收集提供
- h-index
- 暂无h-index数据
- CiteScore ( 2026年6月最新版)
- CiteScoreSJRSNIPCiteScore排名3.200.6251.040学科分区排名百分位大类:Social Sciences小类:Library and Information SciencesQ285 / 296 71% 大类:Social Sciences小类:Information Systems and ManagementQ277 / 222 65% 大类:Social Sciences小类:Public AdministrationQ292 / 248 63%
- 年文章数
- 47点击查看年文章数趋势图
- Gold OA文章占比
- 100.00%
- 研究类文章占比:文章 ÷(文章 + 综述)
- 97.87%
期刊档案
分区、收录与风险
- WOS期刊JCR分区 ( 2025-2026年最新版)
- 注册或登录后,查看WOS分区等级
- 期刊分区表预警名单
- 2026年03月发布的新锐学术版:不在预警名单中2025年03月发布的2025版:不在预警名单中2024年02月发布的2024版:不在预警名单中2023年01月发布的2023版:不在预警名单中2021年12月发布的2021版:不在预警名单中2020年12月发布的2020版:不在预警名单中
- SCI期刊收录coverage
- Emerging Sources Citation Index (ESCI)Scopus (CiteScore)Directory of Open Access Journals (DOAJ)中科院的全球OA期刊索引(OAJ)
- PubMed Central (PMC)链接
- 访问官方页面 ↗
期刊档案
投稿与评审
- 期刊官方网站
- 访问官方页面 ↗
- 期刊投稿网址
- https://mc03.manuscriptcentral.com/jdis优惠提示:Journal of Data and Information Science期刊官方推荐使用LetPub进行必要的文章语言润色服务,下单时您使用该期刊的专属优惠代码“JDIS10%”即可享受10%的折扣。
- 平均审稿速度
- 期刊官网数据:平均about 28 days from submission to first decision.网友分享经验:15 Weeks
- 平均录用比例
- 网友分享经验:
来源与统计口径
来源:LetPub 原始详情页 ↗。投稿经验仅展示聚合统计,不公开第三方正文或用户标识。当前聚合样本:暂无。