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Where to Publish Data Science Paper | IJIRE Research Journal

Category: Blog

Date: 2026-09-24

Where to Publish Data Science Paper | IJIRE Research Journal

📊 Where to Publish Data Science Paper: IJIRE Journal

If you are searching for where to publish data science paper, the International Journal of Innovative Research in Engineering (IJIRE) provides a peer-reviewed, open-access platform for research across Science, Engineering, Technology, and Computer Science.

IJIRE is described in the supplied information as a bi-monthly, peer-reviewed, open-access international journal that supports researchers, academicians, engineers, scholars, students, educationists, and industry professionals in sharing innovative research and technological findings.

🔎 Why Consider IJIRE for Data Science Research?

Data Science & Analytics is included within the journal's stated research scope. The listed areas include Big Data frameworks such as Hadoop and Spark, data visualization and storytelling, predictive analytics in business and healthcare, and ethics in data collection and usage.

These areas provide potential topic alignment for researchers working on data-driven systems, analytics, large-scale data processing, predictive models, visualization, and responsible data practices.

📈 Data Science Research Topics Covered

The supplied IJIRE scope identifies several areas relevant to a data science paper:

  • 🗄️ Big Data Frameworks: Research involving platforms such as Hadoop and Spark.
  • 📊 Data Visualization: Studies focused on visualization and data storytelling.
  • 🔮 Predictive Analytics: Applications of data science in business and healthcare.
  • ⚖️ Data Ethics: Research addressing ethics in data collection and usage.

Researchers can compare their manuscript with these topics when deciding where to publish data science paper.

🤖 Data Science, AI and Machine Learning

IJIRE's stated scope also includes Artificial Intelligence (AI) and Machine Learning (ML). AI topics include Explainable AI, Natural Language Processing, autonomous vehicles and robotics, and AI applications in medicine and diagnostics.

Machine Learning topics include supervised and unsupervised learning, reinforcement learning, federated and Edge Machine Learning, anomaly detection, and forecasting. These areas can overlap with data science research involving predictive models, intelligent analytics, and large-scale data processing.

💻 Computer Science and Data Science Research

Computer Science and Information Technology is one of the broader areas listed in the journal scope. Related areas include cybersecurity, cloud computing, IoT, software engineering, blockchain, computer networks, image processing, HCI, robotics, NLP, and quantum computing.

This multidisciplinary scope can be useful for research that combines data science with AI, machine learning, cloud platforms, cybersecurity, IoT, networking, or software engineering.

⚡ Fast Publication for Data Science Research

The supplied information describes a streamlined publication workflow consisting of online submission, initial acknowledgment, expert review, decision notification, and publication with PDF access and a digital certificate.

  • 📝 Online Submission: 24/7 submission through the editorial management system.
  • 📩 Initial Response: The supplied information states acknowledgment within 12 hours.
  • 🔬 Expert Review: The stated review period is 2–7 days.
  • 📢 Decision Notification: The supplied information states 3–7 days.
  • 📄 Publication & Certificate: Instant PDF access and a digital certificate are stated.

Authors interested in fast publication or rapid publication should verify the journal's current review and publication timelines before submitting their data science manuscript.

🌐 Open Access Data Science Publication

IJIRE is described as an open-access journal. The supplied information states that articles released under open access can be viewed freely online, supporting wider access to published research.

When evaluating where to publish data science paper, researchers can consider open-access availability together with subject scope, peer-review procedures, publication policies, indexing information, and institutional requirements.

💰 Low Cost Data Science Research Publication

The supplied journal information lists article processing charges for Case Reports, Original Articles, and Review Articles after manuscript acceptance:

  • 🌍 Foreign Authors: $80 USD with DOI.
  • 🇮🇳 Indian Authors: ₹1,200 + 18% GST without DOI.
  • 🇮🇳 Indian Authors: ₹1,400 + 18% GST with DOI.

Researchers interested in low cost publication should confirm the current article processing charges, DOI options, applicable taxes, and publication conditions directly with the journal before submission.

📚 Indexing and Abstracting Information

The supplied content lists services and platforms including Google Scholar, Mendeley, EuroPub, DRJI, Academic Keys, I2OR, ResearchBIB, SSRN, WorldCat, Semantic Scholar, Dimensions, and PlumX, among others.

Authors should independently verify the current indexing and abstracting status before submission and confirm that it satisfies their university, institutional, or research-specific requirements.

If your institution requires UGC CARE recognition, verify the journal's current status through the applicable official source rather than assuming that a listed indexing service provides UGC CARE recognition.

🛡️ Peer Review and Publication Ethics

The supplied information states that IJIRE follows a peer-review process and uses plagiarism screening as part of its publication workflow. It also states adherence to publication ethics based on COPE Best Practice Guidelines.

Before submitting a data science paper, authors should review the latest author guidelines, manuscript requirements, peer-review procedure, plagiarism policy, publication ethics, and other editorial requirements.

🚀 Advanced Editorial Management System

IJIRE's supplied information describes an editorial management system designed to help authors monitor their manuscripts throughout the publication process.

  • 📊 Author Dashboard: Submission history and status updates.
  • 🔎 Real-Time Tracking: Monitor manuscript progress through different stages.
  • 📑 Automated Documents: Generation of acceptance letters and copyright forms.
  • ⬇️ Easy Downloads: Access certificates and published research papers.

🎓 Who Can Submit a Data Science Paper?

The journal's stated audience includes researchers, scholars, academicians, engineers, students, educationists, and industry professionals working across science, engineering, and technology.

Data science researchers working on Big Data, analytics, visualization, predictive analytics, AI, machine learning, business intelligence, healthcare analytics, or interdisciplinary technology applications can compare their research topic with the journal's stated scope.

🔗 How to Submit Your Data Science Paper

Authors interested in submitting a manuscript can use the editorial management system provided in the supplied journal information.

Submit Your Data Science Paper to IJIRE

📊 Where to Publish Data Science Paper?

When deciding where to publish data science paper, authors can evaluate subject scope, peer-review procedures, publication timelines, open-access availability, article processing charges, indexing information, and publication ethics.

IJIRE's stated scope specifically includes Data Science & Analytics, with topics such as Big Data frameworks, data visualization and storytelling, predictive analytics in business and healthcare, and ethics in data collection and usage.

✨ Final Guide for Data Science Authors

If your research focuses on data science, compare your manuscript with the journal's stated scope before submission. Consider whether your study relates to Big Data, analytics, visualization, predictive modelling, AI, machine learning, or another relevant technology area.

Researchers searching for where to publish data science paper can also review factors such as low cost, fast publication, rapid publication, open access, peer review, indexing, and publication ethics. Any UGC CARE or Google Scholar requirement should be independently verified using current authoritative information before submission.