Learn the fundamentals of scientific metadata in this course tailored for beginners. Gain practical skills in data documentation, JSON schema, and metadata annotation through hands-on exercises.
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 is designed for scientists from the scientific discipline Health, especially those working with datasets and is an adaption of the published modular course Fundamentals of Scientific Metadata. It covers key concepts of data documentation and annotation. Participants learn about structured metadata, JSON and JSON schema, enabling technologies and standards and Web location and Identifies. Designed for beginners, this course includes hands-on tasks focused on documentation and metadata annotation.
Learning goals
Day 1:
- Understand Data and Metadata
- Understand structure and Schema
Day 2:
- Learn about enabling technologies and standards
- Learn about Web location and Persistent Identifiers
Course date
Register now: April 1-2, 2025
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 valuable for all Hub Health researchers and scientists, especially those working with datasets, as it enhances data management and metadata annotation skills.
This course is free of charge.
