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HMC Conference 2025

Resources and Videos

Venue

Cologne, Germany

This year, the HMC Conference will take place for the fourth time BUT first time as an in-person event in Cologne from May, 12-14 May 2025and there will be a special emphasis on personal exchange, strengthening the community, and laying the groundwork for a conference that will grow in impact in the years to come.


Why Should You Attend?

The HMC Conference 2025 offers a dynamic platform for professionals from all disciplines to come together and shape the future of metadata management. Whether you are a researcher, data steward, software developer, or infrastructure provider, the event promises to deliver valuable insights, spark engaging discussions, and open doors for new collaborations.

By attending, you will:

  • Gain Knowledge: Stay ahead of the curve awith insights into the latest metadata developments and best practices.
  • Engage in Hands-On Learning: Participate in interactive sessions and workshops, where you can dive deeper into real-world applications.
  • Expand Your Network: Connect with experts, thought leaders, and peers across various domains to foster long-lasting professional relationships.


What’s on the Agenda?

This year, we are offering a variety of formats to ensure that everyone has a chance to share, learn, and connect:

  • Talks: Present your research, methodologies, or challenges to a broad audience.
  • Posters & Pitches: Showcase your work in a more concise, interactive setting.
  • Demos: Highlight live tools, prototypes, and innovations that are shaping the future of metadata management.
  • Workshops & Tutorials: Engage in in-depth sessions on specialized topics with experienced facilitators.


Conference Themes

The conference will focus on a range of critical topics in metadata management, including i.e.:

  • Human Actors in the FAIR Data Landscape: Exploring the role of people in driving FAIR data practices.
  • Metrics, Tools, and Workflows for Metadata Assessment: Examining the best ways to assess metadata quality and effectiveness.
  • AI/ML Solutions for Metadata Management: Discover how artificial intelligence and machine learning are transforming metadata practices.
  • Infrastructure and Practices for Data Fabric: Discussing the creation of a robust, interoperable data infrastructure.
  • Community-Driven Initiatives: Enabling and incentivizing community involvement in metadata management efforts.