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Data and Information Management - Elsevier Ltd | 2024 Cite Score: 5.5 | Q2

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Data and Information Management - Elsevier Ltd | 2024 Cite Score: 5.5 | Q2

  • About this Journal:
  • Data and Information Management (DIM) is an international peer-reviewed open-access journal that focuses on theories, technologies, and applications related to data management, information systems, and data-driven intelligence.Data and Information Management (DIM) is an interdisciplinary, double-blind peer-reviewed journal that publishes high-quality original research papers in the field of data and information management. It aims to advance theoretical and/or methodological development related to data and information across various domains, including but not limited to business, academia, government, health, education, finance, marketing, and the Internet. DIM encourages and prioritizes submissions from a wide range of disciplines, such as library and information science, information systems, computer science, management, communication, and other related fields. The primary mission of DIM is to drive effective management of diverse data and information through cutting-edge research, ultimately fostering social development and enhancing human well-being.
  • The journal aims to foster interdisciplinary research on data modeling, storage, retrieval, integration, and analytics that enable efficient information utilization in science, business, and society.More specifically, DIM is particularly interested in the following types of submissions (Authors are also encouraged to provide specific details on these points in the cover letter): Manuscripts with a clear interdisciplinary nature, intended to appeal to readership from at least 2-3 different disciplines, and must include the discipline of Library and Information Science. Manuscripts that are topical, addressing important contemporary issues and capable of generating broad academic interest. Manuscripts containing unique and large-scale datasets, uncovering hidden patterns, associations and correlations, thereby providing profound insights and understanding for both academia and industry.
  • DIM provides a scholarly platform for researchers, engineers, and practitioners to share advancements in managing, processing, and analyzing large-scale and complex data.
  • It emphasizes both foundational research and practical innovations in modern data management and intelligent information systems.

  • Editor-in-Chief:  Wei Lu, PhD

  • Scope of the Journal:
  • Data modeling, storage, and retrieval technologies.
  • Big data management, analytics, and cloud-based information systems.
  • Knowledge discovery, data mining, and artificial intelligence applications.
  • Data integration, interoperability, and semantic web technologies.
  • Information organization, indexing, and search mechanisms.
  • Privacy, security, and governance of data and information systems.
  • Applications of data management in business, government, healthcare, and education.
  • Latest Research Topics for PhD in Computer Science
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  • Print ISSN:  25439251

    Electronic ISSN:  

  • Abstracting and Indexing:  Scopus

  • Imapct Factor :  

  • Subject Area and Category:  Computer Science (miscellaneous), Library and Information Sciences

  • Publication Frequency:  Quarterly

  • H Index:  14

  • Best Quartile:

    Q1:  

    Q2:  Computer Science (miscellaneous)

    Q3:  

    Q4:  

  • Cite Score:  5.5

  • SNIP:  0.909

  • Journal Rank(SJR):  0.497