Journal of Data and Information Science
1,8
Impact Factor
3,7
CiteScore
About the journal
Journal of Data and Information Science (JDIS, formerly Chinese Journal of Library and Information Science), sponsored by the Chinese Academy of Sciences (CAS) and published quarterly by the National Science Library of CAS, is the first internationally published English-language academic journal in...
View full aims & scopeEditor-in-chief
Ronald Rousseau University of Leuven
and University of Antwerp, Belgium
All volumes and issues in this journal
Open Access
|Oct 2025Domestic brain circulation in China: Impact on publication, citation, collaboration and university prestige
Open Access
|Sep 2025Scholarly publishing in Ukraine (2005-2023): Mobility, productivity, and citation impact
Open Access
|Sep 2025Influencing factors and group differences in medical data sharing in clinical research scenarios
Open Access
|Sep 2025The economic value of open government data: Micro evidence from corporate investment
Open Access
|Sep 2025Multimodal detection framework for financial fraud integrating LLMs and interpretable machine learning
Journal details
Indexing
Journal of Data and Information Science is covered by the following services:
- Baidu Scholar
- Cabell's Journalytics
- CNKI Scholar (China National Knowledge Infrastructure)
- DBLP Computer Science Bibliography
- Dialnet
- Dimensions
- DOAJ (Directory of Open Access Journals)
- EBSCO
- ExLibris
- Google Scholar
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- KESLI-NDSL (Korean National Discovery for Science Leaders)
- Latindex
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- ScienceON/AccessON
- SCILIT
- SCImago (SJR)
- Scite_
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- Ulrich's Periodicals Directory/ulrichsweb
- WanFang Data
- Web of Science - Emerging Sources Citation Index
- WorldCat (OCLC)
- X-MOL
- zbMATH Open
Additionally, the journal is registered and indexed in the Crossref database.
eISSN: 2543-683X|ISSN: 2096-157X|Language: English|Publication timeframe: 4 times per year
Published by: Chinese Academy of Sciences, National Science Library
In partnership with: Paradigm Publishing Services
Related subjects: Computer sciences, Information technology, Project management, Databases and data mining