Data Intelligence
Scope & Guideline
Unlocking the Potential of Data for Global Impact
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
INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY
Fostering knowledge and innovation in computer networks and communications.International Journal of Computer Applications in Technology is a reputable academic journal published by InderScience Enterprises Ltd, dedicated to advancing the field of computer applications across various domains including Computer Networks and Communications, Computer Science Applications, and more. With an ISSN of 0952-8091 and an E-ISSN of 1741-5047, this journal has been a credible source of research since its inception in 1976, transitioning into its current form in 1988. With its consistent rank in the Q3 quartile for several key engineering and computer science categories in 2023, it highlights the significance of the journal and its contributions to ongoing discourse in these fields. Researchers benefit from its wide-ranging scope, which encompasses both theoretical and practical applications of technology, making it an invaluable resource for both industry professionals and academic scholars. Although it currently does not provide open access, the journal remains committed to disseminating high-quality research that is essential for technological advancement and innovation.
JOURNAL OF BIOMEDICAL INFORMATICS
Bridging technology and health for a better tomorrow.JOURNAL OF BIOMEDICAL INFORMATICS, published by Academic Press Inc. Elsevier Science, is a premier peer-reviewed journal dedicated to the integration of computer science and health informatics to advance the field of biomedical engineering and healthcare. With its ISSN 1532-0464 and E-ISSN 1532-0480, this influential journal has established itself with an impressive impact factor, reflecting its high-quality research contributions. Recognized within the top quartile (Q1) of both Computer Science Applications and Health Informatics for 2023, the journal ranks #135 out of 817 in Computer Science Applications and #25 out of 138 in Health Informatics according to Scopus metrics. Offering open access options, it fosters extensive dissemination and accessibility of groundbreaking research findings to the scientific community. As a scholarly platform from 2001 to 2024, it is engineered to cater to the educational needs of researchers, professionals, and students, promoting innovative studies that bridge the gap between technology and healthcare.
Journal of Information & Knowledge Management
Advancing the Frontiers of Information ScienceThe Journal of Information & Knowledge Management (ISSN: 0219-6492, E-ISSN: 1793-6926), published by World Scientific Publishing Co. Pte Ltd, is a leading academic journal dedicated to advancing the fields of Library and Information Sciences, Computer Networks and Communications, and Computer Science Applications. With an impressive convergence of research from 2002 to 2024, the journal holds a respected position within its categories, ranking in Q3 for Computer Networks and Communications and Computer Science Applications, and Q2 for Library and Information Sciences as of 2023. This publication serves as a vital resource for those involved in the exploration and development of information management strategies and technologies, addressing current challenges and innovations. Researchers, professionals, and students alike will find invaluable insights and potential collaborations through its content, which reflects a commitment to high-quality scholarship as evidenced by its Scopus rankings. The journal's emphasis on fostering academic discourse makes it an essential platform for disseminating knowledge in this rapidly evolving domain.
INFORMATION PROCESSING & MANAGEMENT
Unveiling Cutting-edge Research in Information TechnologyINFORMATION 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.
Big Data Mining and Analytics
Exploring the Future of Big Data AnalyticsBig 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.
JOURNAL OF INTELLIGENT INFORMATION SYSTEMS
Unlocking the Potential of Intelligent Information SystemsThe 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.
Intelligent Data Analysis
Fostering Collaboration in Intelligent Data ResearchIntelligent Data Analysis is a highly regarded journal published by IOS Press, specializing in the fields of Artificial Intelligence, Computer Vision, and Pattern Recognition. With its ISSN 1088-467X and E-ISSN 1571-4128, the journal has been a cornerstone of scholarly communication since its inception in 1997, serving as a vital resource for researchers, professionals, and students engaged in advancing methodologies and applications in intelligent data analysis. The journal maintains its significance with impressive Scopus ranks, indicating its notable position within the academic community. Although currently not an Open Access journal, Intelligent Data Analysis offers a wealth of insights and findings, encouraging collaboration and knowledge exchange among its readership. With an impact factor reflective of its rigorous selection processes, the journal traverses a broad range of topics, contributing to ongoing discussions and innovations in its field. As the journal looks toward shaping future research until 2024 and beyond, it remains a pivotal platform for disseminating cutting-edge research and fostering academic inquiry.
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.
Data Technologies and Applications
Catalyzing Progress in Library and Information SciencesData 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.
Journal of Biomedical Semantics
Unlocking Insights Through Semantic InnovationThe Journal of Biomedical Semantics is a prestigious open-access journal published by BMC since 2010, dedicated to advancing the field of biomedical informatics through the lens of semantics. With an ISSN of 2041-1480, this journal caters to an international audience from its base in the United Kingdom. It focuses on the convergence of computer science, health informatics, and information systems, providing a vital platform for innovative research and knowledge dissemination. The journal is ranked in the second and third quartiles across several relevant categories in 2023, including Q2 in Computer Networks and Communications and Q3 in both Computer Science Applications and Health Informatics. With Scopus rankings highlighting its relevance in various subfields, this journal serves as a critical resource for researchers, professionals, and students alike, promoting high-quality, peer-reviewed articles on topics encompassing advanced computational methods and semantic technologies in healthcare. As a fully open-access resource, it ensures broad accessibility of groundbreaking research findings, making vital contributions to the ever-evolving landscape of biomedical semantics.