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DCMI 2026 Conference

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2026 August 3^rd to 7^th

DCMI 2026
Seoul, Korea

DCMI 2026, the twenty-fourth International Conference on Dublin Core and Metadata Applications, will be hosted at the National Library of Korea, Seoul, from Monday, August 3 to Friday, August 7. The conference theme is "Meaning-Driven AI: Using Metadata to Align Systems with Human Values".

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Webinars

Generating Smart Data for Cultural Heritage in the AI Era

Smart data means the trusted, contextualized, relevant, cognitive, predictive, and consumable data at any scale, revealing the most important V(value) of big data. In the new era of AI, smart data may be efficiently processed using AI technology while also being used by AI to generate intelligent applications and produce high-quality data. However, since information-bearing cultural heritage entities are usually non-textual and non-machine-readable, generating smart data for diverse cultural heritage resources presents complexities in data processing. This webinar will bring some special cases in recent innovative research projects in the world, involving processing of manuscripts, symbols, images, sound, scent, museum objects, rock arts, etc.

April 2, 2026

Webinars

AI Empowered Metadata Research in Uncertain Environments

This webinar presents studies on AI empowered metadata research and information analysis in uncertain environments. Metadata research in uncertain environments involves various aspects of events, information, and people. The traditional metadata elements include the time, location, and stakeholders of an event, title, keywords, author and length of information as well as age, gender, and occupation of people, etc. In addition to traditional metadata elements, AI can also dynamically generate implicit metadata, such as semantic features and credibility of textual and visual information, severity levels of events, as well as needs, attentions, opinions, and influence of people, etc.

January 15, 2026

Webinars

AI and the Transformation of Metadata Research and Practices

This presentation reports the major findings from a large-scale, multilingual global survey conducted by the DCMI Education Committee AI Task Group, offering a comprehensive analysis of AI adoption in metadata practices from diverse global and regional perspectives. The results indicate a strong consensus toward a positive outlook on AI's role in metadata tasks, with perceived benefits as the most significant factor shaping this optimism. The most pressing challenge identified is a widespread lack of professional AI skills training.

October 30, 2025

Themes

The activities of DCMI, its members and its communities are broadly characterised under four themes.

Stewardship: DCMI develops and curates open-standard metadata vocabularies such as the Dublin Core; hosts the Learning Resource Metadata Initiative (LRMI); and provides good-neighbor support for other related metadata activities.
Community: DCMI's international community of metadata practitioners and experts meet in working groups and at an annual conference to share implementation experience and reports on research and new developments.
Learning: Teachers and experts of metadata technologies from around the world hold tutorials, online meetings, and webinars to discuss and disseminate innovative metadata solutions.
Development: Since pioneering the Application Profile in the 1990s, DCMI continues to develop profiles and related vocabularies spanning practical techniques such as spreadsheets and modern technologies such as data shapes.

Regional Members

The National Library Board of Singapore

The National Library of Finland

The National Library of Korea

Institutional Members

Brandeis University

Stanford University Libraries

University of Porto

hbz

National Library of Sweden

CEDIA

Göttingen State and University Library

Shanghai Library

Simmons University

The National Library of Portugal

UNESP

University of Edinburgh

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