e-learning
FAIR data management solutions
Abstract
The FAIR (Findable, Accessible, Interoperable, Reusable) data stewardship created the foundation for sharing and publishing digital assets, especially data. This apply to machine accessibility and emphasize that all digital assets should share data in a way that will enable maximum use and reuse.
About This Material
This is a Hands-on Tutorial from the GTN which is usable either for individual self-study, or as a teaching material in a classroom.
Questions this will address
- Is there a reproducibility crisis?
- What can go wrong with data analysis?
Learning Objectives
- Learn best practices in data management
- Learn how to introduce computational reproducibility in your research
Licence: Creative Commons Attribution 4.0 International
Keywords: FAIR Data, Workflows, and Research, data stewardship, dmp, fair
Target audience: Students
Resource type: e-learning
Version: 4
Status: Active
Prerequisites:
FAIR in a nutshell
Learning objectives:
- Learn best practices in data management
- Learn how to introduce computational reproducibility in your research
Date modified: 2024-03-27
Date published: 2023-05-30
Contributors: Helena Rasche
Activity log
