Call for Chapters: Cognitive Data Systems for Next-Generation Research Infrastructures

Editors

Otmane Azeroual, University of Hagen, Germany

Call for Chapters

Proposals Submission Deadline: May 10, 2026
 Full Chapters Due: July 12, 2026
 Submission Date: July 12, 2026

Introduction

The rapid evolution of digital research infrastructures has led to an unprecedented growth in the volume, variety, and complexity of scientific data. Traditional data management approaches are increasingly insufficient to handle the dynamic and heterogeneous nature of modern research ecosystems. In this context, cognitive data systems—integrating artificial intelligence (AI), machine learning (ML), and knowledge representation techniques—are emerging as a transformative paradigm for enabling intelligent data processing, semantic integration, and automated decision support.

Next-generation research infrastructures require systems that not only store and manage data but also understand, contextualize, and generate knowledge from it. Cognitive data systems provide capabilities such as automated metadata generation, semantic linking of research outputs, explainable analytics, and adaptive workflows. These systems are particularly relevant in interdisciplinary research environments, where data interoperability and knowledge discovery are critical.

This book aims to explore the design, implementation, and application of cognitive data systems within modern research infrastructures, addressing both theoretical foundations and practical challenges.

Objective

The primary objective of this book is to provide a comprehensive overview of cognitive data systems and their role in enabling next-generation research infrastructures. Specifically, the book aims to:

  • Present state-of-the-art methodologies and architectures for cognitive data systems
  • Explore the integration of AI and semantic technologies in research data management
  • Address challenges related to data interoperability, scalability, and explainability
  • Showcase real-world applications and case studies across various research domains
  • Provide guidance for designing intelligent, data-driven research platforms

By bridging the gap between theory and practice, this book will contribute to advancing research in intelligent data systems and support the development of future-ready research infrastructures.

Target Audience

This book is intended for a broad academic and professional audience, including:

  • Researchers and scholars in information systems, data science, and artificial intelligence
  • Practitioners working in research data management and digital infrastructures
  • IT architects and developers involved in building data-driven platforms
  • Policy makers and institutional stakeholders responsible for research infrastructures
  • Graduate students and PhD candidates exploring advanced topics in AI and data systems

The book will be particularly beneficial for individuals interested in the intersection of AI, data management, and research infrastructure development.

Recommended Topics

  • Cognitive data systems and intelligent data architectures
  • AI-driven research data management
  • Knowledge graphs and semantic data integration
  • Metadata automation and enrichment using machine learning
  • Explainable AI in scientific data systems
  • Interoperability and standardization in research infrastructures
  • Large language models (LLMs) for research knowledge discovery
  • Data governance, privacy, and ethical considerations
  • Real-time data processing and analytics in research environments
  • Digital twins and simulation in scientific research
  • Case studies of cognitive research infrastructures
  • Integration of heterogeneous and multimodal data sources
  • Human-AI collaboration in scientific workflows
  • Scalable and distributed data systems for research

Submission Procedure

Researchers and practitioners are invited to submit on or before May 10, 2026, a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by May 24, 2026 about the status of their proposals and sent chapter guidelines.Full chapters of a minimum of 10,000 words (word count includes references and related readings) are expected to be submitted by July 12, 2026, and all interested authors must consult the guidelines for manuscript submissions at https://www.igi-global.com/publish/contributor-resources/before-you-write/ prior to submission. All submitted chapters will be reviewed on a double-anonymized review basis. Contributors may also be requested to serve as reviewers for this project.

Note: There are no submission or acceptance fees for manuscripts submitted to this book publication, Cognitive Data Systems for Next-Generation Research Infrastructures. All manuscripts are accepted based on a double-anonymized peer review editorial process.

All proposals should be submitted through the eEditorial Discovery® online submission manager.

Publisher

This book is scheduled to be published by IGI Global Scientific Publishing, an international academic publisher of the "Information Science Reference", "Medical Information Science Reference", "Business Science Reference", and "Engineering Science Reference" imprints. IGI Global Scientific Publishing specializes in publishing reference books, scholarly journals, and electronic databases featuring academic research on a variety of innovative topic areas including, but not limited to, education, social science, medicine and healthcare, business and management, information science and technology, engineering, public administration, library and information science, media and communication studies, and environmental science. For additional information regarding the publisher, please visit https://www.igi-global.com. This publication is anticipated to be released in 2027.

Indexing Information for Prospective Authors

IGI Global Scientific Publishing meets the criteria for inclusion in major indexing services such as Scopus; however, it is important to note that all indexing decisions are made independently by these services. IGI Global Scientific Publishing books are selectively indexed by the indexing organization after publication. Indexing cannot be guaranteed for any book prior to publication, and the indexing organization has complete control over the final selection and timeline.

Important Dates

May 10, 2026: Proposal Submission Deadline
May 24, 2026: Notification of Acceptance
July 12, 2026: Full Chapter Submission
August 16, 2026: Review Results Returned
September 13, 2026: Final Acceptance Notification
September 20, 2026: Final Chapter Submission

Inquiries

Otmane Azeroual
University of Hagen
otmane.azeroual@fernuni-hagen.de
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