Advancing Research Data Management: Special Issue on Data Science and AI
Call for papers
In the rapidly evolving landscape of Information Technology, the fusion of Artificial Intelligence (AI) and Data-Driven Research Data Management (RDM) has emerged as a pivotal force in reshaping how research data is handled. To explore the latest developments in this dynamic field, a special issue is set to be published in ITIT (Information Technology: Methods and Applications of Informatics and Information Technology) in 2024 under golden open access. This special issue is dedicated to the intersection of AI and RDM within the German National Research Data Infrastructure (NFDI).
Call for Papers
The call for papers invites researchers, practitioners, and experts to contribute original research papers and innovative solutions that delve into the integration of AI technologies in the management, sharing, and preservation of research data across disciplines within the framework of NFDI.
Submission deadline for papers: 01.03.24
Notification of acceptance: 30.04.24
Camera-ready submission deadline: 30.06.24
Publication of the special issue: 01.07.24
The special issue welcomes submissions on a wide array of topics, including but not limited to:
AI-driven data curation and metadata enrichment
Machine learning applications for data quality assurance in RDM
Automated workflows for data discovery and integration
Intelligent data storage and preservation strategies
Collaborative tools for interdisciplinary data sharing
Ethical, legal, and social considerations in AI-driven RDM solutions
Case studies and best practices in implementing AI in NFDI consortia
Researchers are invited to submit papers of up to 8 pages in double-column format. For detailed instructions and guidance, please refer to the submission guidelines available at Submission Guidelines.
This special issue presents an exciting opportunity for researchers and practitioners to showcase their work at the forefront of AI and RDM within the context of NFDI. By fostering collaboration and sharing insights, the issue aims to contribute significantly to the advancement of research data management practices in the digital era. Researchers are encouraged to submit their contributions and be a part of this transformative journey in ITIT’s 2024 special issue.