Data Intelligence

Data Intelligence 由 The MIT Press 出版，属中科院计算机科学大类（2025 升级版2区）。按 OpenAlex 近年发文统计，该刊主要发表 Research Data Management Practices、Topic Modeling、Scientific Computing and Data Management 等主题的论文，这 3 个主题约占 40.6%，主导子领域为 Artificial Intelligence。（根据 OpenAlex 主题统计与中科院分区数据生成）

Data Intelligence, co-sponsored by the National Science Library, Chinese Academy of Sciences and China National Publications Import & Export (Group) Corporation, is a peer-reviewed metadata centric academic journal that is targeted at data creators, data curators, data stewards, data policy makers, domain scientists and others interested in sharing data. The point of the publication is to include, but not limited to, articles discussing methodologies and/or data resources. The aim is to provide a vehicle to assist industry leaders, researchers and scientists in the sharing and reuse each other's data, metadata, knowledge bases, and data visualization tools. The journal will publish not only traditional articles, but also "data articles" with the contents in the form of knowledge graphs, ontologies, linked datasets and metadata resources. Data Intelligence aspires to introduce developing and emerging data-enabled technologies that will allow and facilitate the work of scientists to more deeply understand and extend the potential of their data. The journal maintains an academic center, a key educational channel, to offer intelligent data services and support for both machine and human to read and reuse data. The objectives of this journal are: Publishing papers specifically aimed at technologies and methodologies for data sharing, curation, etc. Publishing papers that describe specific data- or metadata- repositories that are being maintained and shared. Encouraging data sharing by systematically annotating data resources based on widely-adopted metadata standards. Collecting and cataloguing various knowledge bases such as knowledge graph, ontology, linked dataset and corpus, etc. and publishing information about these. Enabling automatic data annotation and semantification, and linking from newly imported data to the Data Intelligence repository. Providing added value (in the form of data links, synthesized analytics) to articles and data shared in the Data Intelligence repository. Promoting scientific activities that focus on creating new datasets. Giving explicit credit to data creators and disseminating their contributions both in the journal and in wider social media application. Facilitating connecting-dots to build and share real-time knowledge. The final goal of this journal is to build a research culture that is creating new datasets which are scientifically reward-worthy and sharing data is necessary to ensure the transparency and reproducibility i

摘自期刊官网 Aims & Scope

研究方向（LetPub）：COMPUTER SCIENCE, INFORMATION SYSTEMS

编委会国家分布：中国大陆 25 位（约 51%）；主要国家 中国 25、美国 10、荷兰 4、英国 3、德国 2（共 49 位编委标注了国家） 编委会 ↗出版商官网 · 2026-09-30

中科院期刊分区表

数据库收录

ESCIScopusLetPub

国际期刊预警名单：各版本均未列入LetPub

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；投稿与考核前请确认所在机构采用的版本。

影响力指标

CiteScore 2026-06

6LetPub · 2026-09-13

SJR 2026-06

0.54LetPub · 2026-09-13

SNIP 2026-06

1.37LetPub · 2026-09-13

h-index

33OpenAlex · 2026-10-01

i10-index

121OpenAlex · 2026-10-01

两年平均被引

0.96OpenAlex · 2026-10-01

自引率

8.6%LetPub · 2026-09-13

Gold OA 文章占比

99.33%LetPub · 2026-09-13

发文规模

年文章数

53LetPub · 2026-09-13

不同来源的统计口径与观测时间不同，页面保留各来源原值；“出版商公布”为期刊官网自述数据。

各来源数据

平均审稿速度（社区反馈）

8 WeeksLetPub · 2026-09-13

投稿到最终决定

7 天出版商官网 · 2026-09-30

评审方式

匿名同行评审LetPub

社区反馈来自投稿者样本，置信度 0.5，不代表期刊承诺；“出版商公布”的时间节点定义以官网为准。

费用以期刊官网为准；不同来源的观测时间可能不同，页面保留各来源原值，不做平均。

摘录来自期刊官网页面，仅保留原文片段；“模型摘要”由 Workers AI 生成并经原文校验，以官网为准。

出版商

The MIT Press

出版国家或地区

United States

出版语言

English

ISSN

2641-435X

官方链接

• 期刊主页 ↗LetPub
• 投稿系统 ↗出版商官网
• 作者指南 ↗LetPub
• Aims & Scope ↗LetPub
• 评审流程 ↗LetPub
• 编委会 ↗LetPub