IMPORTANT DATES

• Paper submission deadline: 31 July, 2024 31 August, 2024
• Notification of acceptance: 31 August, 2024 30 September, 2024
• Camera-ready copies due: 30 September, 2024 30 October 2024
• Authors Registration due: 30 September, 2024 30 October 2024
• Conference days (On-site in Athens & Online): 18-19 November, 2024

PUBLICATION

Proceedings will be published with CEUR-WS.org (indexed by DBLP, Scopus, GoogleScholar etc.), and extended versions of selected papers will be published in an international peer-reviewed journal.

SUBMISSION PROCEDURE

The MBD conference now invites submission of Full Papers (10-15 pages, single-column style) and Short Papers (5-9 pages, single-column style) reporting completed research. Submissions should be original, not previously submitted, published, and under review to other Conferences or Journals. Following a double-blind peer review process, all submissions will be reviewed based on relevance, originality, importance, and clarity. Submitted papers have to follow the new single-column CEUR-ART formatting style and guidelines. For details on preparing the submission using the CEUR-ART style, see Publishing at CEUR-WS.org. Templates for LaTeX and DOCS format can be downloaded from https://ceur-ws.org/Vol-XXX/CEURART.zip.  The papers must be submitted online via EasyChair (https://easychair.org/conferences/?conf=mbd2024), in PDF format.

Authors of accepted submissions will be asked to register for the Conference and present their work in the form of an oral presentation.

SCOPE

We invite submissions on diverse topics related to (Big) Data management for Museums and related fields including, but not limited to:

• Museum Big Data in the COVID-19 and post COVID-19 times
• Museum Big Data: Theoretical Issues and critical approaches
• Digital transformation in the GLAM sector
• Data-driven museums and the world
• Data mining, AI, Machine Learning methodologies and research approaches
• Information retrieval, Knowledge discovery and Recommender systems on digital content
• Issues on (Big) Data preservation, use and re-use in galleries, libraries, archives and museum (GLAMs)
• IoT and Museums
• Augmented/Virtual/Mixed Reality, Metaverse on Museums
• Museum Big Data and Digital Humanities
• Museum Big Data and Open Access
• Metadata and documentation
• Interoperability
• Museum Data and their applications in education
• Museum research data management and applications
• Museum digital narratives and flows
• Museum data on the web and Social Media (including Museum Twitter Studies)
• Art Data history
• Documenting, Managing and disseminating digital art and artworks
• Semantic Web, linked (open) data, and metadata technologies
• Ontologies and knowledge organization systems
• Natural language processing techniques in digital collections
• Museum data and/from audience research,
• Museum Big Data from digitisation and collection management and practices,
• Museums Big Data ethics,
• New realities and skills for data and the museum professionals,
• Museum Big Data future(s)
• Distributed Ledger Technologies in GLAMs
• Infrastructures & development of Web Archives
• Quality assurance of digital content
• Visualization, user interface, and user experience
• Personal information management and personal digital content
• Cultural heritage access and analysis
• Cultural heritage and museum informatics
• Collaborations among archives, libraries, and museums
• Blockchain applications on Museums and digital objects