Scientific data curation is a fundamental part of the data generation, analysis and storage process because it guarantees a data quality assessment, facilitates the data interpretation and enables the data sharing and reuse.
Helmholtz Metadata Collaboration – Hub Matter is offering a compact training event to researchers and technicians working in the research field Matter, interested to improve the Findability, Accessibility, Interoperability and Reuse of their data.
We welcome participants from any research institute and with none or basic knowledge in the topic focus of our training.
Please assess your knowledge in metadata for scientific data in the registration form or contact the trainer and organizer of this event, email@example.com for any question.
Registrations are open for the intermediate and basic level.
Schematic overview of the course content:
- FAIR data from principles to practices
- Data description: from free text to metadata schemata
- Intro to YAML, XML, JSON structures
- Guidelines, workflows and use cases: from data generation to publication
For an additional overview of the training content, please have a look at the following link :
The basic course is organised as a one day event: 09:00-13:00 on the 29.09.2022
The intermediate as 2 days event from 09:00 to 12:00, 27-28.09.2022