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Data Base for Advances in Information Systems - ACM | 2024 Cite Score:4.7 | Q1

Data Base for Advances in Information Systems Journal With Cite Score

Cite Score and Journal Rank of Data Base for Advances in Information Systems

  • About: The Data Base for Advances in Information Systems (Data Base) is a peer-reviewed journal that focuses on the latest research and developments in information systems. It covers a wide range of topics related to data management, database systems, information retrieval, and systems development. The journal aims to publish high-quality research that advances the understanding and application of information systems and contributes to the development of new technologies and methodologies in the field.
  • Objective:
    The primary objective of Data Base is to advance the field of information systems by disseminating significant research findings, theoretical advancements, and practical applications. The journal seeks to provide a platform for researchers, practitioners, and educators to share their work on cutting-edge technologies and solutions in data management and information systems. Data Base aims to contribute to the improvement of information systems practices and technologies through the publication of innovative and impactful research.
  • Interdisciplinary Approach:
    Data Base embraces an interdisciplinary approach, inviting contributions from various fields such as computer science, information technology, data science, and business information systems. This approach ensures a comprehensive exploration of information systems topics, integrating diverse perspectives and methodologies. By promoting interdisciplinary research, the journal aims to address complex challenges and drive innovation across multiple areas related to information systems.
  • Impact:
    The journal has a significant impact on both academic research and industrial practice in the field of information systems. It is widely cited by researchers, practitioners, and educators interested in the latest developments and trends in data management and information systems. The research published in Data Base contributes to the development of new technologies, methodologies, and best practices that enhance the effectiveness and efficiency of information systems. The journal also serves as a valuable resource for those involved in the design, implementation, and evaluation of information systems and technologies.
  • Significance:
    Data Base plays a crucial role in advancing the study and practice of information systems by providing a platform for high-quality research and practical insights. Its contributions support the development of innovative solutions and technologies that address current and future challenges in data management and information systems. The journals interdisciplinary focus and commitment to excellence make it an essential resource for anyone involved in information systems research, development, and application. Through its rigorous scholarship and broad coverage, Data Base helps shape the future of information systems.

  • Editor-in-Chief:  Deborah J. Armstrong, Tom Stafford, Mohamed Tazkarji, Heidi Seward

  • Scope: The Data Base for Advances in Information Systems journal focuses on advancing knowledge in the field of information systems through a variety of research topics. Its scope includes, but is not limited to:
  • Database Management: Research on database systems, including design, implementation, management, and optimization of relational, NoSQL, and distributed databases.
  • Information Systems Development: Studies on methodologies and tools for developing and maintaining information systems, including software engineering practices, development lifecycle, and agile methodologies.
  • Data Analytics and Data Mining: Exploration of techniques and tools for analyzing large datasets, including data mining, machine learning, and statistical analysis.
  • Information Retrieval: Research on methods for retrieving information from databases and information systems, including search algorithms, indexing, and query processing.
  • Business Intelligence: Studies on the use of information systems to support business decision-making, including data warehousing, reporting, and visualization techniques.
  • Information Systems Security: Exploration of security measures and strategies for protecting information systems, including cryptography, access control, and risk management.
  • Big Data: Research on technologies and methodologies for managing and analyzing large-scale data, including distributed computing, data storage, and processing frameworks.
  • Human-Computer Interaction: Studies on the interaction between users and information systems, including user interface design, usability, and user experience.
  • Enterprise Systems: Research on large-scale information systems used in organizations, including Enterprise Resource Planning (ERP), Customer Relationship Management (CRM), and supply chain management systems.
  • Cloud Computing: Exploration of cloud-based information systems and services, including cloud infrastructure, cloud storage, and cloud-based applications.
  • Data Governance and Quality: Studies on data governance practices, data quality management, and data stewardship in information systems.
  • Information Systems Theory: Research on theoretical frameworks and models for understanding and designing information systems.
  • System Integration: Exploration of techniques and practices for integrating different information systems and technologies within organizations.
  • IT Project Management: Studies on the management of information technology projects, including project planning, execution, and evaluation.
  • Health Information Systems: Research on information systems used in healthcare, including electronic health records (EHR), telemedicine, and health data management.
  • Latest Research Topics for PhD in Computer Science

  • Print ISSN:  00950033,

    Electronic ISSN:  15320936

  • Abstracting and Indexing:  Scopus

  • Imapct Factor :  

  • Subject Area and Category:   Business, Management and Accounting, Management Information Systems, Computer Science, Computer Networks and Communications

  • Publication Frequency:  

  • H Index:  69

  • Best Quartile:

    Q1:  Computer Networks and Communications

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  • Cite Score:  4.7

  • SNIP:  1.138

  • Journal Rank(SJR):  0.872