Foundational introduction to scientific metadata and machine-readable research data annotation.
This course is offered by HMC in cooperation with HIDA
HMC
The Helmholtz Metadata Collaboration (HMC) promotes the qualitative enrichment of research data by means of metadata – and implements this approach across the whole organization.
HMC develops and implements novel concepts and technologies for a sustainable handling of research data through high-quality metadata. Its main goal is to make the depth and breadth of research data produced by Helmholtz Centres findable, accessible, interoperable and reusable (FAIR) for the whole science community.
This course introduces foundational concepts of scientific metadata and FAIR alignment. Participants gain conceptual understanding and practical orientation in structured metadata frameworks and JSON-based annotation.
Learning Objectives:
By the end of the course, participants will be able to:
- explain the role of structured metadata in research quality and reuse
- describe how metadata frameworks support FAIR data principles
- create basic machine-readable metadata records using JSON
Course date
Register now: 7-8 July 2026
For more information on how to register, please follow the link on the course date.
Prerequisites
No prior knowledge needed.
Target group
This course is designed for researchers within Helmholtz Hub Health. It is particularly relevant for PhD students, early-career researchers, and postdoctoral researchers working with research datasets.
This course is free of charge.
The Data Science Course Portfolio
This course is part of the Data Science Course Portfolio, curated by the five Helmholtz Information & Data Science Platforms - Helmholtz AI, Helmholtz Imaging, HIDA, HIFIS, HMC. Find out more on the Course Portfolio here.
