A Framework for Cleaning and Integrating Multimodal Data in Digital Cultural Experience Research – Dissemination within the UN-LOC and META-MUSEUM Projects

BEIA Consult International supports the dissemination of innovative research results in the field of digital cultural experiences through its involvement in the unLoc and Meta-Museum projects.

This work introduces a comprehensive framework for cleaning, processing, and integrating multimodal data, addressing the growing need for robust methodologies in cultural experience research. As digital technologies increasingly shape the way cultural content is created, accessed, and experienced, the ability to manage heterogeneous data sources—such as audio, video, text, sensor data, and user interactions—becomes essential.

The proposed framework focuses on ensuring data quality, consistency, and interoperability across diverse datasets. It enables researchers and practitioners to extract meaningful insights from complex data environments, ultimately enhancing user engagement and personalization in digital cultural platforms.

Within the UN-LOC and META-MUSEUM projects, this framework contributes to the development of advanced tools and services that support immersive and interactive cultural experiences. By integrating multimodal data streams, the projects aim to create richer, more accessible, and user-centered cultural heritage applications.

BEIA Consult International plays an active role in promoting these research outcomes, facilitating knowledge transfer, and supporting the adoption of innovative digital solutions in the cultural sector. Through dissemination activities, BEIA contributes to strengthening collaboration between research institutions, technology providers, and cultural organizations.

This initiative highlights the importance of data-driven approaches in shaping the future of digital cultural experiences and reinforces the commitment to innovation within European research projects.

Learn more here: https://doctorat.ase.ro/the-20th-icbe-26-28-march-2026/#pll_switcher