About the Journal

About the Journal

American Journal of Big Data (AJBD)

The American Journal of Big Data (AJBD) is a peer-reviewed academic journal dedicated to publishing high-quality research, advancements, and applications in the field of big data. Established in 2019, AJBD serves as a platform for academics, researchers, and industry professionals to share innovative methodologies, theoretical developments, and practical solutions in big data technologies. The journal aims to bridge the gap between academic research and real-world applications, promoting knowledge exchange in this rapidly growing discipline.

Publishing Frequency and Format

AJBD follows a bimonthly publication schedule, ensuring the timely dissemination of cutting-edge research in the field of big data. The journal is available in both online and print formats, providing broad accessibility to its audience.

Indexing and Accessibility

The journal is indexed in prominent scholarly directories, ensuring its visibility and accessibility to the global research community. Some of the indexing platforms include:

  • DOAJ (Directory of Open Access Journals)
  • Google Scholar
  • ROAD (Directory of Open Access Scholarly Resources)

Scope and Topics Covered

The American Journal of Big Data addresses a wide range of topics within the domain of big data, focusing on both theoretical and applied aspects. Core areas of interest include, but are not limited to:

  • Big Data Analytics: Algorithms, tools, and techniques for analyzing massive datasets.
  • Data Storage and Management: Innovations in distributed storage systems and database management for big data.
  • Machine Learning and AI Integration: The role of big data in enhancing artificial intelligence and machine learning applications.
  • Data Privacy and Security: Techniques for ensuring data protection and user privacy in large-scale datasets.
  • Applications of Big Data: Industry-focused research, including applications in healthcare, finance, marketing, and urban planning.
  • Real-Time Data Processing: Methods for handling and analyzing streaming data in real time.
  • Visualization of Big Data: Techniques for representing complex datasets in accessible and insightful ways.

Target Audience

AJBD caters to a broad audience, including:

  • Academics and Researchers: Engaged in advancing the theoretical and methodological foundations of big data.
  • Industry Professionals: Looking for innovative solutions to real-world challenges in data-driven industries.
  • Policy Makers: Exploring the societal implications of big data and its role in decision-making.

Mission and Vision

The American Journal of Big Data aims to be at the forefront of big data research, contributing to the development and dissemination of knowledge in this dynamic field. By fostering collaboration between academia and industry, the journal aspires to drive innovation and address critical challenges in the era of data-driven decision-making.

Through its rigorous peer-review process and focus on impactful research, AJBD has positioned itself as a leading publication for scholars and practitioners in the domain of big data.