Reusability of Scientific Data for Matter

03.02.2025 | 10:00 - 15:00 h

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

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.

At a glance

Date & Location
Feb 03, 2025, 10 AM - 3 PM, Online (Zoom)

Trainer:
Özlem Özkan (HMC)

Registration:
Secure your spot now! Registration is open at https://events.hifis.net/event/2031

This year, for the first time, our courses are integrated into a joint course portfolio of the Helmholtz Information and Data Science Platforms (HIDS) Helmholtz AI, HMC, Helmholtz Imaging, HIDA and HiFIS. This portfolio contains learning paths on data science skills and competences that pick up learners at different levels of their knowledge and enable them to expand their data science skills. All HIDS courses are free of charge for Helmholtz employees.