State-of-the-Art training in FAIR Research Data Management
Developed under the PATTERN Project, this trainer-focused guide supports educators in delivering the FAIR Research Data Management course. It equips trainers to teach beginners and intermediate learners the FAIR principles (Findable, Accessible, Interoperable, and Reusable), through five core sessions. Topics include research data management basics, data discoverability, accessibility strategies, interoperability practices, and reusability guidelines. The material offers session plans, presentations, activities, case studies, and evaluation tools. Designed for flexible delivery, face-to-face, online, or self-paced, it enables impactful training that strengthens data practices and enhances the visibility and reuse of scientific outputs.
PATTERN
In this Train the Trainers guide user can use this material to encourage learners to:
- Understand the principles of FAIR (Findable, Accessible, Interoperable, and Reusable) data.
- Apply these principles to their own research data management practices.
- Recognize the importance of incorporating FAIR principles into their routine data management to enhance research efficiency and effectiveness.
Data Sources
FAIR principles
Research Communities
Research Groups
Research Managers
Research Networks
Research Organisations
Research Projects
Researchers
CC-BY
Assessment
Lesson Plan
Create account
By creating an account and enrolling on a course you can track your progress and earn a statement of participation.