ITADATA2023 welcomes original papers from academia and industry presenting novel research on all theoretical and practical aspects of Big Data and data science including data governance, data processing, data analysis, data reporting, data protection, as well as experimental studies and lessons learned. ITADATA2023 also welcomes papers specifically focusing on policy making, ethics, laws, and regulations.
Areas of interest include, but are not limited to:

• Big Data and Data Science Foundation
• Big Data Platforms and Infrastructures
• Big Data and Data Science Applications
• Big Data Governance
• Big Data Security and Privacy
• Big Data Assurance and Trustworthiness
• Ethics of Big Data
• Big Data and Data Science for Cybersecurity
• Big Data and Data Science for High Performance Computing
• Industrial Big Data and Data Science

Papers have to be submitted in pdf format, must be written in English and be no longer than 12 pages including all contents and references. All papers will be reviewed by at least 3 members of the program committee and evaluated on the basis of their quality, originality, relevance, and timeliness. Accepted paper shall be published in an open-access volume of CEUR Workshop Proceedings.

ITADATA2023 welcomes presentations of previously published research results or work in progress from academia and industry in all theoretical and practical aspects of Big Data and data science including data governance, data processing, data analysis, data reporting, data protection, as well as experimental studies and lessons learned. ITADATA2023 also welcomes papers specifically focusing on policy making, ethics, laws, and regulations.

A 2 to 4 pages abstract of the presentation have to be submitted in pdf format and must be written in English. Accepted presentations will be presented at the conference and will not be added to the conference proceedings.

ITADATA2023 tutorial/demo track welcomes researchers and practitioners in sharing practical knowledge, best practices and guidelines in vertical problems of big data and data science, and live demonstrations and prototypes. Tutorials/demos are planned to be delivered in a session of 1 or 2 hours. Tutorial proposals should contain the following information:

• Title of the tutorial
• Presenter(s) (brief CVs)
• Aims and learning objectives
• Scope of the tutorial/demo
• Length: 1 or 2 hours
• Full description (up to 2 pages) + citations to related publications
• Target audience

ITADATA2023 workshop track welcomes proposals for thematic workshops on specific verticals on big data and data science. Workshops focus on novel and disruptive topics, which can contribute and shape the future of big data and data science. ITADATA2023 workshops are planned to be delivered in a half-a-day session (4 hours). Workshop proposals should contain the following information:

• Title of the workshop
• Abstract of the workshop
• Workshop goals, objectives, outcomes
• Full description (up to 2 pages)
• Format/structure of the workshop (tentative schedule)
• Workshop Chairs (brief CVs)
• Target audience

ITADATA2023 panel track is meant to be a unique academic and industrial forum to discuss different viewpoints concerning gaps and challenges to be addressed by the big data and data science community. ITADATA2023 panels are planned to be delivered in a session of 30 minutes or 1 hour. Panel proposals should contain the following information:

• Title of the tutorial
• Moderator (brief CVs)
• Aims, scope and topics of interest
• Length: 30 minutes or 1 hour
• Full description (up to 1 page)
• Panelists
• Target audience