Data Science Journal Call for Papers | IJSREAT Journal

📊 Data Science Journal Call for Papers – IJSREAT

The International Journal of Scientific Research in Engineering & Technology (IJSREAT), e-ISSN 2583-1240, invites researchers, scholars, academicians, and industry professionals to submit original research for its data science journal call for papers. IJSREAT is a bi-monthly, international, peer-reviewed, open-access, multidisciplinary journal covering research across Science, Engineering, and Technology.

The journal provides a platform for original research contributions, technological innovations, and fundamental advancements. Its interdisciplinary approach makes IJSREAT relevant for researchers working across data science, computer science, artificial intelligence, machine learning, analytics, engineering, and emerging technologies.

🔬 Data Science & Analytics Research Scope

The data science journal call for papers welcomes research that advances data-driven methods, analytical techniques, computational approaches, and practical applications. The stated Data Science & Analytics scope includes the following areas:

  • Big Data Frameworks: Research involving Hadoop, Spark, and large-scale data processing.
  • Data Visualization and Storytelling: Innovative methods for presenting, interpreting, and communicating complex datasets.
  • Predictive Analytics: Data-driven prediction and analytical applications in business and healthcare.
  • Ethics in Data: Research addressing responsible data collection and usage.

🤖 Data Science, AI and Machine Learning

Data science research increasingly connects with artificial intelligence and machine learning. IJSREAT's scope includes Explainable AI (XAI), natural language processing models, AI applications in autonomous vehicles and robotics, and AI applications in medicine and diagnostics.

The journal also welcomes machine learning research covering supervised and unsupervised learning, reinforcement learning in gaming and robotics, federated and edge machine learning, and machine learning for anomaly detection and forecasting.

📈 Big Data, Analytics and Predictive Research

Researchers preparing a manuscript for this data science journal call for papers can explore large-scale data processing, analytical modeling, visualization, and predictive applications. Topics may include Hadoop and Spark frameworks, data visualization and storytelling, predictive analytics in business and healthcare, and ethical approaches to data collection and usage.

These areas provide opportunities for both theoretical and applied computer science research, especially where computational techniques are used to solve practical problems in business, healthcare, engineering, and technology.

💻 Interdisciplinary Computer Science Research

IJSREAT's broader scope includes Computer Science and Information Technology alongside AI, machine learning, data science, cybersecurity, cloud computing, IoT, software engineering, blockchain, computer networks, image processing, HCI, robotics, NLP, and emerging quantum computing.

  • Cybersecurity and AI-based malware detection
  • Network intrusion detection systems and cryptography
  • Serverless and hybrid cloud computing
  • IoT security, sensor networks, edge and fog computing
  • Blockchain scalability, security, and smart contracts
  • 5G/6G networks and software-defined networking
  • Image segmentation, classification, and computer vision
  • Human-computer interaction and accessible UI/UX
  • Robotics, embedded AI, and autonomous navigation
  • NLP, chatbots, translation, and low-resource languages

⚡ Fast Publication and Rapid Peer Review

IJSREAT describes a streamlined publication workflow designed to provide quick responses at different stages. Its stated process includes online submission, an initial acknowledgment within 12 hours, expert peer review within 2 days, and acceptance or rejection notification within 3 days.

The journal also states that its strict peer review process delivers decisions within 3 days while maintaining its quality standards. Researchers seeking fast publication or rapid publication can review the journal's stated process before submitting their work.

🌐 Open Access Data Science Journal

IJSREAT identifies itself as an open-access peer-reviewed journal. Its stated open-access policy is intended to make published research immediately accessible to researchers, policymakers, industry leaders, and other readers.

For authors searching for a data science journal call for papers, open access can provide a practical route for sharing research findings across academic and professional communities.

🔎 Google Scholar and Indexing Information

The source material lists several indexing and abstracting services associated with IJSREAT, including:

  • Google Scholar
  • Scribd
  • ISSUU
  • Elsevier Mendeley
  • EuroPub
  • DRJI
  • Academic Keys
  • Edocr
  • I2OR
  • PDFSR
  • ResearchBIB
  • SSRN
  • WorldCAT
  • Exlibris (part of Clarivate)
  • Thomson Reuters – Research ID
  • Semantic Scholar
  • Dimensions
  • PlumX

Authors should independently review the current status and coverage of any indexing or abstracting service before relying on an indexing claim for a particular purpose.

💰 Low Cost Open Access Publication

IJSREAT states that its online open-access publication requires a minimal fee after manuscript acceptance. For Case Reports, Original Articles, and Review Articles, the source lists the following charges:

  • Indian Authors – Without DOI: 1200 INR + 18% GST
  • Indian Authors – With DOI: 1400 INR + 18% GST
  • Other than Indian Authors – With DOI: $80 USD

Authors considering a low cost publication route should confirm the applicable fee and publication terms with the journal before submission.

🛡️ Publication Ethics and Plagiarism Protection

The journal states that rigorous plagiarism screening is used to maintain academic integrity. IJSREAT also states that it follows COPE's Best Practice Guidelines for publication ethics.

Authors submitting data science research should therefore ensure that manuscripts are original, properly referenced, ethically prepared, and compliant with the journal's submission requirements.

📝 Data Science Manuscript Submission Process

  1. Prepare Your Manuscript: Develop an original data science research paper, review article, or technical note within the journal's scope.
  2. Submit Online: IJSREAT states that submissions are accepted 24/7 through its editorial management system.
  3. Initial Response: The stated acknowledgment time is within 12 hours.
  4. Expert Review: The source states that peer review can be completed within 2 days.
  5. Decision Notification: Acceptance or rejection notification is stated as being provided within 3 days.
  6. Publication: Following publication, the source states that authors receive instant PDF access and a digital certificate.

🖥️ Advanced Editorial Management System

IJSREAT describes an editorial management system that supports authors throughout the publication workflow. The stated features include:

  • Author Dashboard: Personalized access to submission history and status updates.
  • Real-Time Tracking: Monitoring of manuscript progress through publication stages.
  • Automated Documents: Generation of acceptance letters and copyright forms.
  • Easy Downloads: One-click access to certificates and published papers.

🎓 Who Can Submit Data Science Research?

The data science journal call for papers is relevant to researchers, scholars, academicians, engineers, and industry professionals working on data-driven science and technology. The journal specifically states that it provides a platform for researchers and industry professionals to share insights and findings.

Interdisciplinary research connecting data science and computer science with engineering, healthcare, business, artificial intelligence, cybersecurity, cloud computing, and other technology areas can align with the broad scope described by IJSREAT.

📢 Submit to the Data Science Journal Call for Papers

Researchers preparing original work in Data Science & Analytics can consider IJSREAT for manuscript submission based on the journal's stated scope and publication process. Potential topics include big data frameworks, data visualization, predictive analytics, ethical data usage, machine learning, AI, and interdisciplinary computer science applications.

To submit your research, use the journal's editorial management system:

🚀 Submit Your Data Science Research to IJSREAT

For queries, the source provides the editorial contact email: editorinchief@ijsreat.com

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International Journal of Scientific Research in Engineering & Technology (IJSREAT) provides a multidisciplinary platform covering Data Science & Analytics and related areas of Science, Engineering, and Technology.

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