5–6 Oct 2022
virtual, details will be shared with you after registration
Europe/Berlin timezone

Fundamentals of scientific metadata - an entry-level training course for early career researchers

2-43
Not scheduled
20m
virtual, details will be shared with you after registration

virtual, details will be shared with you after registration

Poster Postersession Postersession II

Speakers

Silke Gerlich (HMC) Annika Strupp

Description

Get your hands dirty with semi-structured metadata in HMC’s remote training course “Fundamentals of scientific metadata: why context matters”!

Have you ever struggled to make sense of research data provided by a collaborator - or even to make sense of your own data 5 months after publication? Do you see difficulties in meeting data description requirements of your funding agency? Do you want your data to have lasting value, but don’t know how to ensure that with metadata? Our training course is here to help!

In our course, you will learn about how metadata will play a critical role in tomorrow’s research and engage in hands-on tasks that introduce basic concepts related to machine-readable metadata, including:

  • differences between data & metadata
  • annotation of research data with metadata
  • finding and evaluating suitable metadata frameworks and data repositories
  • using basic Markdown / JSON / XML
  • application of suitable tools for metadata annotation
  • importance of semi-structured metadata and its benefits for overall scientific visibility

Get a sneak peak into our hands-on tasks at our poster and discover what HMC is planning for the future!

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training
JSON
metadata
HMC
reproducibility

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Primary authors

Co-authors

Volker Hofmann Stefan Sandfeld (Instititute for Advanced Simulation – Materials Data Science and Informatics (IAS-9); Forschungszentrum Jülich, Jülich, Germany.)

Presentation materials