This is a REd Synchronous (live/Zoom) Class.

Class Description: This course explores the foundational principles of FAIR (Findable, Accessible, Interoperable, Reusable) data and Open Science practices in research data management. Participants will learn to apply these principles to enhance data sharing, transparency, and collaboration across disciplines. Topics include the ethical implications of open data, FAIR implementation strategies, tools and resources for managing research data. By the end of the course, participants will be equipped with the skills needed to make their research more accessible and impactful, while aligning with global standards in data stewardship.

Learning Outcomes: 

• Define the FAIR principles and their role in enhancing data usability.
• Explain the value and challenges of Open Science in diverse research contexts.
• Identify tools and strategies to make research data findable, accessible, interoperable, and reusable.
• Analyze examples of FAIR and Open Science in practice to identify lessons and innovative approaches.
• Critique the effectiveness of data sharing in real-world research scenarios.

REd Synchronous classes are taught by subject matter experts and provide both fundamental and advanced skills training in flipped classroom format. To register for upcoming trainings, click here to view our calendar.