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Journal of Data and Information Science

Journal Details
Open Access
First Published
30 Mar 2017
Publication timeframe
4 times per year
Journal Subjects
Computer Sciences, Information Technology, Project Management, Databases and Data Mining
Journal Metrics
Impact Factor
Five Year Impact Factor
Cite Score

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 Library and Information Science and related fields from China.

The Journal of Data and Information Science (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

JDIS publishes theoretical and empirical work. Systematic reviews are welcome and applied research in development of advanced methods, services, and best practices is also an important part. But simple application of established informetrics on a specific research field or country is out of the scope.

Welcome to submit your papers to JDIS.

Why subscribe and read

JDIS is the first and only English journal from China in Library and Information Science and related fields. With an aim to disseminate the cutting-edge research in these fields, it is devoted to the study and application of the theories, methods, techniques, services, and infrastructural facilities using big data to support knowledge discovery for decision and policy making. The basic emphasis is big data-based, analytics centered, knowledge discovery driven, and decision making supporting. JDIS has gathered a big body of high profile experts across the world who contribute their research to the journal. The international authors account for around 62% in its first publication year (2016).

Why submit

JDIS is the first and only English journal from China in Library and Information Science and related fields. It owns a number of world front-line scholars as editorial board members or reviewers. The turnaround time on average for a manuscript from submission to final decision is less than two and a half months.


Sciendo archives the contents of this journal in Portico- digital long-term preservation service of scholarly books, journals and collections.

Plagiarism Policy

The editorial board is participating in a growing community of Similarity Check System's users in order to ensure that the content published is original and trustworthy. Similarity Check is a medium that allows for comprehensive manuscripts screening, aimed to eliminate plagiarism and provide a high standard and quality peer-review process.

Ronald Rousseau
University of Leuven, and University of Antwerp, Belgium

Liying Yang
National Science Library, the Chinese Academy of Sciences, China

Zhesi Shen
National Science Library, the Chinese Academy of Sciences, China

Johan Bollen
Indiana University, USA

Managing Editor
Ping Meng
National Science Library, the Chinese Academy of Sciences, China

Editorial Boards
Judit Bar-Ilan (1958-2019)
Bar-Ilan University, Israel

Christine L. Borgman
University of California, Los Angeles, USA

Kevin Boyack
SciTech Strategies Inc., USA

Cong Cao
University of Nottingham Ningbo, China

Dar-Zen Chen
National Taiwan University, Taiwan, China

Cinzia Daraio
Sapienza University of Rome, Italy

Nees-Jan van Eck
Leiden University, the Netherlands

Tove Faber Frandsen,
University of Southern Denmark, Denmark

Jane Greenberg,
Drexel University, USA

Robin Haunschild,
Max Plank Institute for Solid State Research, Germany

Xiaojun Hu,
Zhejiang University, China

Tao Jia
Southwest University, China

Guangjian Li
Peking University, China

Yuelin Li
Nankai University, China

Wei Liu
Library of Shanghai, China

Wei Lu
Wuhan University, China

Xiaobin Lu
Renmin University, China

Hamid R. Jamali,
Charles Sturt University, Australia

Alberto Martin-Martin,
University of Granada, Spain

Eustache Megnigbeto,
Bureau of Studies and Research in Information Science, Benin

Olga Moskaleva,
Saint-Petersburt State University, Russia

Ed Noyons
University of Leiden, the Netherlands

José Miguel Baptista Nunes,
Sun Yat-Sen University, China

Han Woo Park,
Yeung Nam University, South Korea

Qing Qian,
Institute of Medical Information/Medical Library, CAMS, China

Jian Qin,
Syracuse University, USA

Elias Sanz-Casado,
University Carlos III de Madrid, Spain

Zhesi Shen,
National Science Library, the Chinese Academy of Scienes, China

Gunnar Sivertsen,
Nordic Institute for Studies in Innovation, Research and Education, Norway

Neil Smalheiser,
University of Illinois at Chicago, USA

Xinning Su,
Nanjing University, China

Sugimoto Shigeo,
University of Tsukuba, Japan

Tan Sun,
Agriculture Information Institute, CAAS, China

Li Tang,
Fudan University, China

Mike Thelwall,
University of Wolverhampton, UK

Lili Wang,
Maastricht University, the Netherlands

Yuefen Wang,
Tianjin Normal University, China

Fang Wang,
Nankai University, China

Jevin West,
Washington University, USA

Dietmar Wolfram,
University of Wisconsin-Milwaukee, USA

Dan Wu,
Wuhan University, China

Jinshan Wu,
Beijing Normal University, China

Yishan Wu,
Chinese Academy of Science and Technology for Development, China

Erjia Yan,
Drexel University, USA

Guoliang Yang,
Institute of Science and Development, Chinese Academy of Sciences, China

Ying Ye (Fred Y. Ye),
Nanjing University, China

Marcia Lei Zeng,
Kent State University, USA

Lin Zhang,
Wuhan University, China

Zhixiong Zhang,
National Science Library, CAS, China

Dangzhi Zhao,
University of Alberta, Canada

Yuxiang Zhao,
Renmin University, China

Editorial Office
National Science Library, Chinese Academy of Sciences
33 Beisihuan Xilu, Haidian, Beijing 100190, P.R. China
Tel(fax): +86-10-82627304

Chinese Academy of Sciences, National Science Library

Publishing Services Provider
Sciendo, Subsidiary of Walter de Gruyter GmbH

Journal of Data and Information Science is covered by the following services:

  • Baidu Scholar
  • Cabell's Journalytics
  • CNKI Scholar (China National Knowledge Infrastructure)
  • CNPIEC - cnpLINKer
  • DBLP Computer Science Bibliography
  • Dialnet
  • Dimensions
  • DOAJ (Directory of Open Access Journals)
  • ExLibris
  • Google Scholar
  • Inspec
  • J-Gate
  • JournalTOCs
  • KESLI-NDSL (Korean National Discovery for Science Leaders)
  • Latindex
  • MyScienceWork
  • Naver Academic
  • Naviga (Softweco)
  • QOAM (Quality Open Access Market)
  • ReadCube
  • SCImago (SJR)
  • Semantic Scholar
  • Sherpa/RoMEO
  • TDNet
  • 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.

Please submit your aritcle via:

Peer Review Process

JDIS applies a single-blind peer review process. All submissions will be evaluated first by an Editor-in-Chief or an Associate Editor-in-Chief who checks suitability for JDIS. Then, research and review articles considered in scope and of sufficient quality will be sent to two or three external reviewers. It usually takes five weeks from when the article is sent out for review to the first decision.

All articles submitted to JDIS will be checked using the iThenticate. Manuscripts that are detected to have a high Similarity Index Percentage and verified not to be caused by the duplication with authors’ own preprints will be returned to the authors without further peer review.

JDIS will publish an official retraction of the paper for suspected plagiarism in a published article. The mechanism follows the guidelines from the Committee on Publication Ethics (COPE), which can be accessed at

Instructions for Authors

Article Types

  • 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 (around 100 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

Submission guidelines

JDIS does not require specific formats for first submissions. Both Word and PDF are acceptable file types. However, the following elements should be incorporated into your manuscript:

  • Names and affiliations of all authors.
  • For a research article, the abstract should be prepared in a structured form, including Purpose, Design/methodology/approach, Findings, Research limitations, Practical implications, and Originality/value.
  • Provide a list of up to six keywords
  • Pages, sections, and subsections should be numbered. In addition, we suggest line numbering as well.
  • Figures and tables should be placed close to where they are first referenced.
  • References should adhere to APA (American Psychological Association) style
  • Acknowledgments, author contribution statements, competing interest statements, funding information, data availability statements, and appendices should be included at the end of the manuscript.

Open Access Statement

The journal is an Open Access journal that allows a free unlimited access to all its contents without any restrictions upon publication to all users.

Open Access License

Copyright policy

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

APC Policy

To publish in JDIS, authors are not required to pay an Article Processing Charge.

Journal Details
Open Access
First Published
30 Mar 2017
Publication timeframe
4 times per year
Journal Subjects
Computer Sciences, Information Technology, Project Management, Databases and Data Mining
Journal Metrics
Impact Factor
Five Year Impact Factor
Cite Score