HMC Conference – The Hub for Excellence in Metadata Research
Discover how metadata drives better science. Connect with experts. Shape the future of FAIR data.
The HMC Conference is the flagship annual event of the Helmholtz Metadata Collaboration (HMC) – a meeting place for everyone passionate about turning data into impact and bringing metadata to life.
Each year, the conference unites experts from science, infrastructure, technology, and data stewardship to explore cutting-edge developments in FAIR data, metadata quality, semantics, interoperability, and AI-driven research workflows.
The HMC Conference 2026, themed “Metadata in Action,” showcases practical solutions, innovative applications, and inspiring success stories from across the research landscape. Through talks, posters, demos, and community-driven workshops, participants actively shape how metadata will be used in the future.
On our dedicated HMC conference website, you will find all details for the current edition as well as some links to insights into previous conferences, including programs, proceedings, and additional materials.
Join the HMC community – discover, connect, and help shape the future of metadata-powered research and be part of the conversation: Follow the latest updates, share your insights, and connect with fellow participants using our official conference hashtag: #HMCConference2026
Important Updates
The Call for Contributions for Abstracts and Pre-Conference Workshop has been extended until January 31st, 2026. Find out more here: https://events.geomar.de/event/884
We are delighted to announce two confirmed keynote speakers for HMC 2026: Dr. Jan Portisch (SAP) brings extensive experience at the intersection of industry, software engineering, and human-centered perspectives on machine learning systems. Dr. Marta Teperek (Open Science NL) is a leading voice in open science, research transparency, and responsible practices in machine learning. Oliver Stegle (DKFZ, GHGA, EMBL) advances data-driven biomedical research by combining cutting-edge genomics with large-scale scientific infrastructure. Together, their keynotes will reflect the conference’s commitment to bridging industry practice, open research cultures, and human-centered approaches to machine learning.