organized in cooperation with Helmholtz Information & Data Science Academy (HIDA) and Helmholtz Metadata Collaboration (HMC) and Helmholtz AI
Reusability of Scientific Data for Matter
In the training course "Reusability of Scientific Data for Matter," 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.
Module Titles
Welcome & Warm-up
Reproducibility/Replicability Crisis
Key Terms & FAIR Principles
Challenges
Reusability in AI & Reusability in Matter Talks
Checkout
Learning Goals
By the end of the course, you will learn how to apply data reusability methods in the early stages of their projects and gain hands-on experience in selected steps necessary for making research data reusable by others.
Prerequisites
No prior knowledge needed.
Target Group
While the course is open to everyone interested, it is particularly aimed at scientists in Research Field Matter at the beginning of a new research project or considering the use of AI in their projects.
Course Day & Time
Feb 03, 2025, 10 am - 3 pm
NOTE: Registration will open January 06, 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. You may register for the course allocating yourself to one of the following groups:
- All Helmholtz affiliations
- Helmholtz Information & Data Science School (HIDSS) affiliation
- HIDA Partner affiliation
Please note that after the first two weeks of the registration period the unbooked seats from categories 2 and 3 will be opened for all Helmholtz affiliations (category 1).
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.
