This course is an entry-level introduction to the fundamentals of scientific metadata for PhD students, early-career researchers and Postdocs. In this course we will look at the intricate relationship between (digital) research data, metadata and knowledge, discuss why metadata is critical in today’s research, as well as explain some of the technologies and concepts related to structured machine-readable metadata.
Have you ever struggled to make sense of scientific data provided by a collaborator - or even understanding your own data 5 months after publication? Do you see difficulties in meeting the data description requirements of your funding agency? Do you want your data to have lasting value, but don’t know how to ensure that?
Precise and structured description of research data is key for scientific exchange and progress - and also for the recognition of your effort in data collection. The solution: make your data findable, accessible, interoperable and reusable by describing them with metadata.
This course is targeted especially at scientific staff and researchers in the Helmholtz Research Field Information but is open to anyone, who would like to better understand research data annotation with metadata.
You will learn:
Registration period: 12. December 2022 - 18. January 2023
organized by HMC Hub Information