About the Journal

Open Access • Peer Reviewed • Scholarly Journal

Journal of Data Science and Informatics Engineering

JoDSIE

A scholarly platform for advancing research, innovation, and knowledge in data science, informatics engineering, artificial intelligence, computational methods, and emerging information technologies.

Journal

JoDSIE

e-ISSN

3123-948X

DOI Prefix

10.64803/jodsie

Frequency

3 Issues / Year

About the Journal

Journal of Data Science and Informatics Engineering (JoDSIE) is a peer-reviewed, open-access scientific journal published by CV. Raskha Media Group.

JoDSIE provides a scholarly platform for researchers, academics, professionals, engineers, and practitioners to disseminate original research and significant scholarly contributions in data science, informatics, artificial intelligence, information technology, and related computational disciplines.

The journal promotes rigorous research methodologies, methodological innovation, interdisciplinary collaboration, reproducible research, and practical contributions addressing contemporary scientific, technological, and societal challenges.

Aim

JoDSIE aims to advance scholarly communication and knowledge exchange by publishing high-quality research that contributes to the development of data science, informatics engineering, artificial intelligence, computational methods, and emerging information technologies.

Scholarly Commitment

JoDSIE is committed to academic integrity, rigorous peer review, editorial transparency, research ethics, responsible use of technology, and continuous improvement of scholarly publishing practices.

Focus and Scope

JoDSIE welcomes original research, review articles, and systematic literature reviews addressing, but not limited to, the following areas:

◆ Data Science and Data Analytics

◆ Machine Learning and Deep Learning

◆ Artificial Intelligence

◆ Big Data and Data Mining

◆ Natural Language Processing

◆ Computer Vision and Image Processing

◆ Information Systems and Informatics

◆ Software Engineering

◆ Database Systems and Data Engineering

◆ Decision Support Systems

◆ Internet of Things and Intelligent Systems

◆ Computational Intelligence

◆ Cybersecurity and Privacy

◆ Human–Computer Interaction

◆ Applied Computing and Emerging Technologies

◆ Ethical, Legal, and Societal Aspects of AI and Data

Target Readership

JoDSIE is intended for researchers, academics, lecturers, students, engineers, information technology professionals, industry practitioners, policymakers, and scholars interested in data science, informatics engineering, artificial intelligence, and related computational disciplines.

Article Types

RESEARCH

Original Research Article

Empirical and methodological studies presenting original scholarly contributions supported by appropriate research methods.

REVIEW

Review Article

Critical and analytical reviews synthesizing important developments, evidence, and research directions.

SYSTEMATIC REVIEW

Systematic Literature Review

Evidence-based scholarly syntheses using transparent, rigorous, and reproducible review methodologies.

Peer Review and Editorial Standards

All manuscripts submitted to JoDSIE undergo an initial editorial assessment followed, where appropriate, by a double-blind peer-review process. Manuscripts considered suitable for review are evaluated by at least two independent reviewers with relevant academic or professional expertise.

Editorial decisions consider originality, methodological rigor, relevance to the journal's scope, clarity, research integrity, scholarly contribution, and overall quality of the manuscript.

OPEN ACCESS

Immediate and Free Access to Research

JoDSIE follows a fully open-access publishing model. Published scholarly articles are made immediately and freely available online without subscription or access barriers, subject to the applicable Creative Commons license.

Publication & Journal Information

Journal Title

Journal of Data Science and Informatics Engineering

Abbreviation

JoDSIE

Online ISSN

3123-948X

DOI Prefix

10.64803/jodsie

Publication Frequency

Three issues per year

Publisher

CV. Raskha Media Group

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JoDSIE is committed to advancing responsible, transparent, rigorous, and accessible scholarly communication in data science and informatics engineering.