Journal of Data and Information Science

Open access

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.

JDIS devotes itself 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 research that focuses on big data, analytics, and knowledge discovery, and supports decision making. Special attention is given to knowledge discovery to detect and predict structures, trends, behaviors, relations, and evolutions and disruptions in scientific research. This includes issues of innovation, business, politics, security, media and communications, and social development. The big data topics 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 and 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 that can 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, and data mining-driven intelligent workflows in learning, communications, or management.

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

      • Knowledge organization
      • Knowledge discovery and data mining
      • Knowledge integration and fusion
      • Semantic Web metrics
      • 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.

Acceptance Rate

  • 38%

Similarity Check Plagiarism Screening System

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.

Detailed description of the Similarity Check System can be found at:
https://www.crossref.org/services/similarity-check/

Abstracting & Indexing

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

  • Baidu Scholar
  • CNKI Scholar (China National Knowledge Infrastructure)
  • CNPIEC
  • Dialnet
  • Dimensions
  • DOAJ (Directory of Open Access Journals)
  • EBSCO (relevant databases)
  • EBSCO Discovery Service
  • Google Scholar
  • Inspec
  • J-Gate
  • JournalTOCs
  • KESLI-NDSL (Korean National Discovery for Science Leaders)
  • Latindex
  • Microsoft Academic
  • Naviga (Softweco)
  • Primo Central (ExLibris)
  • ProQuest (relevant databases)
  • Publons
  • ReadCube
  • SCImago (SJR)
  • SCOPUS
  • Summon (Serials Solutions/ProQuest)
  • TDNet
  • Ulrich's Periodicals Directory/ulrichsweb
  • WanFang Data
  • WorldCat (OCLC)
  • Zentralblatt Math (zbMATH)

Editor-in-Chief
Xiaolin Zhang
National Science Library, the Chinese Academy of Sciences, China

Ronald Rousseau
University of Leuven, Belgium

Ying Ding
Indiana University, USA

Deputy/ Managing Editor
Fenghong Liu
National Science Library, the Chinese Academy of Sciences, China

Editorial Advisory Board
Composed of Co-Editors-in-Chief and Editors

Co-Editors-in Chief
Xiaolin Zhang
National Science Library, the Chinese Academy of Sciences, China

Ronald Rousseau
University of Leuven, KU Leuven, Belgium

Ying Ding
School of Informatics and Computing,Indiana University, USA

Editors
Per Ahlgren
KTH Royal Institute of Technology, Sweden

Judit Bar-Ilan
Bar-Ilan University, Israel

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

Kevin Boyack
SciTech Strategies Inc., USA

Chaomei Chen
Drexel University, USA

Dar-Zen Chen
National Taiwan University, Taiwan, China

Ling Chen
Peking University, China

Cinzia Daraio
Sapienza University of Rome, Italy

Nees-Jan van Eck
Leiden University, the Netherlands

Haiyan Hou
Dalian University of Technology, China

Tao Jia
Southweat University, China

Renaud Lambiotte
University of Namur, Belgium

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

Everard Noyons
University of Leiden, the Netherlands

José Miguel Baptista Nunes
Sun Yat-Sen University, China

Han Woo Park
Yeung Nam University, South Korea

Jian Qin
Syracuse University, USA

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

Min Song
Yonsei University, South Korea

Neil Smalheiser
University of Illinois at Chicago, USA

Xinning Su
Nanjing University, China

Tan Sun
Agriculture Information Institute, CAAS, China

Jie Tang
Tsinghua University, China

Li Tang
Fudan University, China

Mike Thelwall
University of Wolverhampton, UK

Yuefen Wang
Nanjing University of Science and Technology, China

Fang Wang
Nankai University, China

Jevin West
Washington University, USA

Dietmar Wolfram
University of Wisconsin-Milwaukee, USA

Dan Wu
Wuhan University, China

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

Feng Xia
Dalian University of Technology, China

Erjia Yan
Drexel University, USA

Liying Yang
National Science Library, CAS, China

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

Jan Youtie
Georgia Institute of Technology, USA

Marcia Lei Zeng
Kent State University, USA

Zhixiong Zhang
National Science Library, CAS, China

Dangzhi Zhao
University of Alberta, Canada

Yuxiang Zhao
Nanjing University of Science and Technology, China

Donghua Zhu
Beijing Institute of Technology, China

Contact:
Editorial Office
National Science Library, Chinese Academy of Sciences
33 Beisihuan Xilu, Haidian, Beijing 100190, P.R. China
Tel: +86-10-82626611 ext 6628
Tel(fax): +86-10-82624454
Email: jdis@mail.las.ac.cn
Website: www.jdis.org

Publisher
DE GRUYTER OPEN
Bogumiła Zuga 32A Str.
01-811 Warsaw, Poland
T: +48 22 701 50 15

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