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Journal of Data and Information Science

4 Issues per year

DE GRUYTER OPEN

Open Access

    Open Access
    Online
    ISSN
    2543-683X
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    Overview

    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.

    Aims and Scope

    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/

    Details

    Submission of Manuscripts

    More ...

    Abstracting & Indexing

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

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

    Editorial Information

    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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