Reusability of Scientific Data for MatterOnline Event
online
organized in cooperation with Helmholtz Information & Data Science Academy (HIDA) and Helmholtz Metadata Collaboration (HMC) and Helmholtz AI
Reusability of Scientific Data for Matter
The Helmholtz Metadata Collaboration (HMC) is all about boosting the quality of research data with the power of metadata – and we're bringing this approach to life across the entire Helmholtz organization.
In this context, HMC is excited to offer the course “Reusability of Scientific Data” as part of the HIDS Data Science course portfolio!
In this training course we focus on the 'R' in the FAIR Principles. By the end of the course, participants will have a comprehensive understanding of the importance and necessity of making data reusable, a key aspect of the FAIR principles.
Short Agenda:
Welcome & Warm-up
Reproducibility/Replicability Crisis
Reusability in Matter Talks
Key Terms & FAIR Principles
Challenge 1
Reusability in AI
Checkout
Learning Goals
By the end of the course, you will be able to
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understand why the reuse of data is highly important
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understand the FAIR principles and their goal
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assign yourself an ORCID
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apply creative commons licences to your research data
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name metadata standards in the research field matter & know first steps how to apply them
Prerequisites
No prior knowledge needed.
Target Group
While the course is open to everyone, it is particularly aimed at newly hired postdocs and PhD students in the Research Field Matter who are at the beginning of their research.
Course Day & Time
Nov 13, 2025, 09:30 am - 14:10 pm
NOTE: Registration will open October 2, 2025, 12 pm.
Attendance & Certificates
The course content is coordinated, so we strongly recommend that you do not miss any part of the course. To receive a certificate we expect full time and active participation.
Registration & Cancellation
This course is open to individuals affiliated with Helmholtz or a HIDA Partner only.
Your registration for this course is binding. If you need to leave/miss the course for a period of time, please let us know in advance via hida-courses@helmholtz.de.
If you have to cancel the course for any reason, please do so as soon as possible to allow time for others to take your seat. To cancel, please withdraw your registration on the course site or write an email to hida-courses@helmholtz.de.
Additional Information
There is no waiting list for this course! If someone withdraws from a course, their place is automatically reopened. We therefore advise you to keep an eye on the registration in case the course is fully booked and you would like to attend. Also, this course will be offered again in the future - you can check our HIDA course catalog for updates.
This course is free of charge.