Data Intelligence
Scope & Guideline
Bridging Theory and Practice in Data Intelligence
Introduction
Aims and Scopes
- Data Science and Machine Learning:
The journal covers a broad spectrum of topics within data science, including machine learning techniques, deep learning frameworks, and artificial intelligence applications, aiming to enhance data-driven insights. - Data Management and FAIR Principles:
A significant focus is on data management practices, particularly the implementation of FAIR (Findable, Accessible, Interoperable, and Reusable) principles, which are essential for improving data sharing and usability in research. - Natural Language Processing (NLP):
Research in NLP is a core area, with studies exploring various techniques for text analysis, sentiment detection, and language understanding, contributing to advancements in human-computer interaction. - Knowledge Graphs and Semantic Technologies:
The journal emphasizes the use of knowledge graphs for data representation and reasoning, facilitating more intelligent systems and applications across diverse fields. - Interdisciplinary Applications:
The journal promotes interdisciplinary research that applies data intelligence in various sectors, including health, environmental science, and social sciences, showcasing the versatility of data methodologies.
Trending and Emerging
- Generative AI and Language Models:
The rise of generative AI, particularly with advancements in large language models like ChatGPT, has led to increased research on their applications, ethical considerations, and performance evaluation. - Sustainable and Ethical Data Practices:
There is a growing emphasis on sustainability and ethical considerations in data practices, including the development of frameworks for responsible data usage and the implications of data management on society. - Integration of Multi-modal Data:
Research focusing on the integration of multi-modal data sources (e.g., text, images, and structured data) is gaining momentum, reflecting a trend towards more holistic data analysis methodologies. - Health Informatics and Biomedical Applications:
The intersection of data intelligence with health informatics is increasingly prominent, showcasing applications in medical diagnosis, patient management, and public health analysis. - Context-aware Data Processing:
Studies exploring context-aware data processing techniques are emerging, highlighting the importance of contextual information in enhancing data relevance and accuracy in various applications.
Declining or Waning
- Traditional Statistical Methods:
There has been a noticeable decrease in publications focusing solely on traditional statistical methods, as the field increasingly favors machine learning approaches that offer more dynamic and scalable solutions. - Basic Data Visualization Techniques:
Papers dedicated to basic data visualization techniques have waned, indicating a shift towards more complex visualization methodologies that integrate advanced analytics and interactive elements. - Manual Data Entry and Curation:
As automated data collection and processing techniques gain traction, studies centered around manual data entry and curation processes are becoming less common, reflecting advancements in technology.
Similar Journals
Data Technologies and Applications
Unlocking Insights Through Data ApplicationsData Technologies and Applications is a leading academic journal published by Emerald Group Publishing Ltd, captivating the interest of researchers, professionals, and students alike within the dynamic fields of Information Systems and Library and Information Sciences. With its ISSN 2514-9288 and E-ISSN 2514-9318, this journal holds a commendable Q2 ranking in Library and Information Sciences and a Q3 ranking in Information Systems as of 2023, reflecting its impact and contribution to ongoing discourse in these disciplines. Operating with an open access model, it provides a platform for accessing high-quality research that encompasses innovative methodologies and applications of data technologies. The journal's scope includes interdisciplinary studies that leverage data to enhance decision-making, improve information retrieval, and foster technological convergence. Housed in the United Kingdom, the journal facilitated its first publication in 2018, with a commitment to fostering valuable academic conversations through to 2024 and beyond. Engage with insightful research that shapes the future of data technologies and applications, making this journal an essential resource for anyone invested in the advancement of knowledge in these pivotal fields.
Frontiers in Big Data
Fostering Collaboration Across Disciplines in Big DataFrontiers in Big Data, published by Frontiers Media SA in Switzerland, is a leading open access journal that has established itself as a vital resource for scholars and practitioners in the expanding realms of artificial intelligence, computer science, and information systems since its inception in 2018. With an impressive impact factor reflected in its Q2 rankings across multiple categories, including Artificial Intelligence, Computer Science (Miscellaneous), and Information Systems, this journal serves as a pivotal platform for disseminating groundbreaking research and promoting interdisciplinary collaboration. The journal's commitment to open access ensures that high-quality research is readily accessible to a global audience, fostering the exchange of innovative ideas and advancements in big data technologies. By creating an inclusive space for diverse perspectives, Frontiers in Big Data aims to bridge the gap between theoretical research and practical application, making it an essential read for anyone invested in the future of data science.
Jordanian Journal of Computers and Information Technology
Advancing Research and Collaboration in Emerging TechnologiesJordanian Journal of Computers and Information Technology, published by Princess Sumaya University and SRSF, stands as a significant platform for scholarly research in the realm of computer science, particularly in topics related to emerging technologies and information systems. With its Open Access model initiated in 2015, the journal facilitates global access to high-quality research findings, embodying the principles of knowledge sharing and academic collaboration. The journal's ranking in the Q3 category of Computer Science (miscellaneous) and its placement in the 54th percentile of Scopus' General Computer Science rankings underscore its growing reputation among researchers and professionals alike. Situated in Amman, Jordan, the journal actively contributes to the regional and international discourse on computing methodologies, applications, and innovations, making it an indispensable resource for scholars seeking to advance their understanding and engage with contemporary issues in technology.
INTELLIGENCE
Bridging Disciplines for a Deeper Insight into IntelligenceINTELLIGENCE, published by Elsevier Science Inc, is a leading international journal dedicated to advancing research in the fields of cognitive psychology, developmental psychology, and human intelligence. With an impact factor reflecting its authority within the academic community, this journal occupies a prestigious position—ranking in the Q1 category for Arts and Humanities and achieving strong Q2 rankings in both Developmental and Educational Psychology and Experimental and Cognitive Psychology. Scholars can access high-quality research articles that contribute to the understanding of intelligent behavior, cognitive processes, and the implications of intelligence in various contexts. By encompassing a broad range of interdisciplinary perspectives since its inception in 1977 and continuing into 2024, INTELLIGENCE serves as an essential resource for researchers, professionals, and students keen to explore the complexities of human thought and learning.
ACM Transactions on Intelligent Systems and Technology
Pioneering Insights at the Intersection of Technology and IntelligenceACM Transactions on Intelligent Systems and Technology, published by the Association for Computing Machinery (ACM), is a leading peer-reviewed journal dedicated to the rapid dissemination of innovative research in the fields of Artificial Intelligence and Theoretical Computer Science. With an impressive Impact Factor and a strong H-Index, it boasts a premier standing in the academic community, being ranked Q1 in both AI and Theoretical Computer Science categories as of 2023. This journal serves as a critical platform for researchers, professionals, and students aiming to contribute to and stay informed about the latest developments in intelligent systems and technology. While there are currently no open-access options, readers can explore invaluable insights into current trends and methodologies from 2010 to 2024, making it an essential resource for anyone passionate about advancing their knowledge in these rapidly evolving domains. The journal continues to foster collaboration and innovation, reflecting the forefront of research where technology intersects with intelligent systems.
JOURNAL OF INTELLIGENT INFORMATION SYSTEMS
Shaping the Future of Intelligent Systems ResearchThe Journal of Intelligent Information Systems, published by Springer since 1992, is a premier academic journal that offers a multidisciplinary platform in the fields of Artificial Intelligence, Computer Networks and Communications, Hardware and Architecture, Information Systems, and Software. With an impressive impact reflected in its 2023 Q2 category rankings across multiple domains and a commendable standing in the Scopus Rankings—ranking #84 in Computer Networks and Communications and #101 in Artificial Intelligence—the journal is recognized for its contribution to advancing knowledge and innovation. Although it is not an open-access journal, its accessibility through institutional subscriptions ensures that a wide range of researchers, professionals, and students can engage with high-quality, peer-reviewed research that addresses the latest advancements and trends in intelligent systems. For over three decades, this journal has effectively bridged gaps between academia and industry, making it a vital resource for those aiming to push boundaries in intelligent information systems.
Big Data Mining and Analytics
Pioneering Research in Data-Driven SolutionsBig Data Mining and Analytics, published by TSINGHUA UNIVERSITY PRESS, stands at the forefront of interdisciplinary research in the fields of Artificial Intelligence, Computer Networks and Communications, Computer Science Applications, and Information Systems. With an impressive Q1 ranking in multiple categories as of 2023, this journal serves as a critical platform for researchers and professionals eager to explore innovative techniques and methodologies related to big data analytics. Since its transition to Open Access in 2018, Big Data Mining and Analytics has aimed to increase the visibility and accessibility of its cutting-edge research, making permanent strides in the global academic landscape. Housed in Beijing, China, and actively embracing the converged years from 2018 to 2024, the journal aims to cultivate a rich discourse on emerging trends and applications, ensuring its relevance in a rapidly evolving technological environment. Join a vibrant community of scholars dedicated to advancing the frontiers of knowledge in big data.
Revista Brasileira de Computacao Aplicada
Fostering Global Collaboration in Tech ResearchRevista Brasileira de Computação Aplicada is a distinguished peer-reviewed journal dedicated to disseminating innovative research and advancements in the field of applied computing. Published by UNIV PASSO FUNDO, this open-access journal has been serving the global academic community since 2009, ensuring that high-quality research is accessible to all. With its ISSN 2176-6649, the journal aims to foster collaboration and dialogue among researchers, professionals, and students, bridging the gap between theory and practice in computing. Positioned as an essential resource for those interested in the latest trends and developments in applied computational technologies, the journal strives to contribute significantly to the scholarly discourse and enhance knowledge sharing within this dynamic field. For researchers looking to publish their findings or professionals seeking to stay updated on cutting-edge research, the Revista Brasileira de Computação Aplicada serves as an invaluable platform that empowers the evolution of applied computing in Brazil and beyond.
INFORMATION PROCESSING & MANAGEMENT
Pioneering Insights in Information ProcessingINFORMATION PROCESSING & MANAGEMENT, published by ELSEVIER SCI LTD, is a distinguished journal at the forefront of research in the fields of Computer Science, Information Systems, Library and Information Sciences, and Management Science and Operations Research. Since its inception in 1975, this journal has continually evolved to provide a scholarly platform for the dissemination of innovative methodologies and frameworks in information processing. With a remarkable Q1 ranking across multiple disciplines and esteemed Scopus rankings—notably, 1st in Media Technology and 4th in Library and Information Sciences—it stands as a pivotal resource for researchers, professionals, and students alike, seeking to advance their understanding and application of information management principles. Although not an Open Access journal, it remains widely accessed and respected, marking its influence in shaping the future of effective information management practices. The journal is committed to providing a rigorous peer-review process, ensuring the publication of high-quality research that addresses current challenges and trends in information technology and its application in various sectors.
JOURNAL OF INFORMATION SCIENCE AND ENGINEERING
Bridging Disciplines in Information Science and Engineering.JOURNAL OF INFORMATION SCIENCE AND ENGINEERING, published by the Institute of Information Science in Taiwan, is a pivotal platform for the dissemination of innovative research in the multidisciplinary fields of information science and engineering. Established in 1993, the journal primarily focuses on areas such as library and information sciences, human-computer interaction, hardware and architecture, as well as computational theory and software development. Despite holding a current Q4 ranking in several categories, the journal demonstrates significant potential for growth, particularly in computation and software systems, as evidenced by its Scopus rankings and percentiles. Researchers, professionals, and students will find this journal to be an invaluable resource to stay abreast of evolving theories and technologies in information science. The journal is accessible through traditional subscription models, fostering a broad academic outreach. It serves to enhance knowledge-sharing and collaboration within this dynamic and ever-evolving field.