This course delves into the 'R' of the FAIR Principles, emphasizing the critical importance of making scientific data reusable.
Participants will explore how data reusability underpins effective research practices and contributes to scientific transparency and collaboration.
Learning Objectives
By the end of the course, participants will:
- Understand the significance of reusability as a key element of the FAIR Principles.
- Learn to implement strategies for data reusability during the early stages of their projects.
- Gain practical experience in essential steps for preparing research data to be effectively reused by others.
Prerequisites
No prior knowledge is required to join the course.
Target Group
This course is open to all interested individuals affiliated with Helmholtz or a HIDA Partner but is especially designed for:
- Scientists working in the Research Field Matter.
- Researchers starting new projects or planning to incorporate AI into their research workflows.
Course Details
- Date: February 3, 2025
- Time: 10:00 AM – 3:00 PM
Join us to develop practical skills and insights into fostering reusability in your scientific data practices!
