Data Science Journal DOI | IJSREAT Data Science Research Journal

Data Science Journal DOI – IJSREAT

The International Journal of Scientific Research in Engineering & Technology (IJSREAT) (e-ISSN: 2583-1240) is a bi-monthly, international, peer-reviewed, open-access and multidisciplinary online journal covering research across Science, Engineering and Technology. Researchers looking for a data science journal DOI can explore IJSREAT for research in Data Science, analytics, Artificial Intelligence, Machine Learning, Big Data and related areas of computer science.

IJSREAT provides a scholarly platform for academicians, researchers, engineers, students and industry professionals to publish original research papers, review articles and technical studies. Its multidisciplinary scope supports Data Science research connected with healthcare, business analytics, cybersecurity, cloud computing, IoT, engineering and other emerging technologies.

📊 Data Science Journal DOI Publication

A data science journal DOI provides a persistent identifier for an eligible published research article and can help establish a stable reference for scholarly communication. IJSREAT provides a DOI-inclusive publication option according to its stated article processing charges and publication information.

Data Science researchers can use DOI-based publication for studies involving analytics, predictive modeling, Big Data, data visualization, Machine Learning and intelligent decision systems. Authors should verify the DOI assigned to their individual article and confirm applicable DOI registration details before using it in academic records or citations.

🔬 Data Science and Computer Science Research Scope

IJSREAT welcomes original research related to Data Science, analytics and computational research. The journal's scope includes several areas relevant to researchers seeking a data science journal DOI.

• 📊 Data Analytics: Descriptive, diagnostic, predictive and prescriptive analytics.
• 🧠 Machine Learning: Supervised, unsupervised, reinforcement, federated and edge learning.
• 🤖 Artificial Intelligence: Explainable AI, intelligent systems and AI-enabled applications.
• 🗃️ Big Data: Hadoop, Spark, distributed data processing and scalable analytics.
• 📈 Predictive Analytics: Forecasting, anomaly detection and data-driven decision support.
• 🎨 Data Visualization: Visual analytics, dashboards, storytelling and interactive data exploration.
• 🏥 Healthcare Analytics: Predictive modeling, medical data analysis and intelligent healthcare applications.
• 💼 Business Analytics: Data-driven business intelligence, customer analytics and operational forecasting.
• 🛡️ Data and Cybersecurity: Security analytics, anomaly detection and intelligent threat identification.
• ☁️ Cloud Data Science: Cloud analytics, distributed computing and scalable Machine Learning systems.
• 🌐 IoT Analytics: Sensor data processing, edge analytics and intelligent connected systems.
• ⚖️ Data Ethics: Responsible data collection, privacy, fairness, transparency and ethical data usage.

🌐 International Data Science Research

Researchers preparing manuscripts for a data science journal DOI can submit research addressing theoretical methods, computational models, experimental studies, applied analytics and interdisciplinary Data Science solutions.

The multidisciplinary character of IJSREAT allows Data Science research to connect with computer science, Artificial Intelligence, Machine Learning, cybersecurity, cloud computing, IoT, healthcare, renewable energy and other engineering and technology domains.

🔎 Google Scholar and Data Science Research

The supplied IJSREAT indexing and abstracting information includes Google Scholar. Researchers searching for a data science journal DOI can consider DOI publication together with the journal's stated open-access model and supplied indexing information.

Authors should independently verify the current Google Scholar indexing or abstracting status and individual article discoverability through the relevant official service. Search visibility can depend on article metadata, indexing processes and other technical factors.

⚡ Fast Publication and Rapid Publication for Data Science

Data Science is a rapidly developing field of computer science and technology. IJSREAT states an initial acknowledgment within 12 hours, expert review within 2 days and decision notification within 3 days as part of its stated publication workflow.

These are stated workflow targets rather than guarantees. Actual fast publication and rapid publication timelines may vary depending on manuscript quality, reviewer availability, revision requirements and editorial considerations.

💰 Low Cost Data Science Journal DOI

IJSREAT follows an open-access publication model with a stated low cost article processing structure. For Indian authors, the stated fee is ₹1200 + 18% GST without DOI and ₹1400 + 18% GST with DOI. For authors outside India, the stated DOI-inclusive fee is $80 USD.

The low cost DOI option may be relevant to students, researchers, academicians and industry professionals working in Data Science and computer science. Authors should confirm the latest APC, DOI requirements and applicable publication terms before submission.

🏛️ UGC CARE and Data Science Journal Selection

UGC CARE status can be an important consideration for researchers evaluating journals for academic publication. Authors looking for a data science journal DOI should independently verify current UGC CARE status and their institution's publication requirements through appropriate official sources.

Indexing, recognition and journal-list information can change over time. Researchers should review current official information before relying on a particular status for academic, institutional or professional purposes.

🛡️ Peer Review, Plagiarism Protection and COPE

IJSREAT describes a peer-reviewed publication process for submitted manuscripts. Data Science researchers should present original contributions, clearly explain datasets and analytical methods, document experimental procedures and report appropriate evaluation measures.

The journal also describes plagiarism screening and adherence to COPE publication ethics principles. Responsible Data Science publication includes transparent methodology, appropriate data usage, ethical considerations, accurate citations and responsible authorship.

🚀 Data Science Journal DOI Publication Process

1. 📤 Submit Online: Submit your Data Science manuscript through the IJSREAT editorial management system.
2. 📩 Initial Response: Receive acknowledgment according to the stated editorial workflow.
3. 🔬 Expert Review: The manuscript proceeds through the applicable peer review process.
4. 📋 Decision Notification: Receive an editorial decision after completion of the review process.
5. 🔗 DOI Processing: Accepted manuscripts using the DOI option proceed through the applicable DOI publication workflow.
6. 📄 Publication & Certificate: Access the published PDF and applicable digital certificate after publication.

🖥️ Advanced Editorial Management System

IJSREAT provides an editorial management environment designed to support authors during the publication workflow. Researchers submitting to a data science journal DOI can use the system for manuscript submission, status updates and publication-related documents.

• 👤 Author Dashboard: Personalized access to submission history and manuscript status.
• 📊 Real-Time Tracking: Follow manuscript progress through applicable editorial stages.
• 📑 Automated Documents: Support for acceptance letters and copyright-related documents.
• ⬇️ Easy Downloads: Access certificates and published research papers.

📚 Indexing and Abstracting Information

The supplied IJSREAT indexing and abstracting information includes Google Scholar, Scribd, ISSUU, Elsevier Mendeley, EuroPub, DRJI, Academic Keys, Edocr, I2OR, PDFSR, ResearchBIB, SSRN, WorldCAT, Exlibris, Thomson Reuters Research ID, Semantic Scholar, Dimensions and PlumX. Authors should independently verify current coverage and status for each service before relying on a particular indexing or abstracting claim.

🌟 Data Science Journal DOI – IJSREAT

Researchers searching for a data science journal DOI can explore IJSREAT for research involving Data Science, analytics, Big Data, predictive modeling, Machine Learning, Artificial Intelligence, data visualization, cybersecurity, cloud computing and IoT analytics.

IJSREAT combines a broad Data Science and technology scope with open-access publishing, a stated low cost DOI option and a workflow built around fast publication and rapid publication objectives. For editorial queries, contact editorinchief@ijsreat.com.