Data Research (DATA)
Data Research (ISSN 2617-4537) is an open access, peer-reviewed, and scientific journal published by ITS bimonthly. The journal aims to provide scientists and scholars around the world with a platform to share, discuss and promote new issues and developments in multitude areas in data. All the articles submitted should be relevant to the main focus of the journal and go through a rigorous peer-review process before accepted. The journal welcomes the original scientific research articles from the worldwide researchers and scientists.
Aims & Scope
Aims
- To provide an open access, peer-reviewed platform for scientists and scholars worldwide to share, discuss, and advance new issues and developments across diverse areas of data research.
- To facilitate the exchange of original scientific research findings and innovative ideas in data-related fields.
- To ensure the quality and relevance of published work through a rigorous peer-review process for all submissions.
- To promote the growth and application of data science knowledge through high-quality academic discourse.
Scope
The journal covers a wide range of topics related to data research, including but not limited to:
Data Science and Analytics
- Theoretical and applied research in data mining, machine learning, and statistical analysis
- Big data processing, storage, and management technologies
- Predictive analytics, data visualization, and business intelligence
- Deep learning, natural language processing, and computer vision applications in data science
Data Engineering and Applications
- Data infrastructure, including databases, data warehouses, and cloud-based data systems
- Data governance, privacy, security, and ethical considerations in data use
- Real-world applications of data science across industries (healthcare, finance, smart cities, etc.)
- Emerging data technologies, including AI-driven data tools, edge computing, and data science innovation
