NEW DATE!: Oct 31 | 12:30-14:00 (CEST):
FAIR in Practice: Enabling Research That’s Findable, Accessible, Interoperable, and Reusable
Mareike Christina Harms Buss, RDM Senior Advisor - CBS Library & Academic Services
How can researchers and research support staff work together to make data truly FAIR? What does FAIR look like in real research workflows and how do you know when you’re getting it right?
In this practical webinar, we’ll demystify the FAIR principles (Findable, Accessible, Interoperable, Reusable) and translate them into actionable steps across the research lifecycle. Designed for a broad audience, including early career researchers, support staff, and data stewards, this session combines foundational concepts with hands-on exploration and real-world case examples. Whether you’re just getting started or already supporting FAIR data initiatives, this session will help you deepen your understanding and sharpen your FAIR practice.
What you'll learn:
- The key components and purpose of FAIR principles and how they differ from Open Data
- How to identify and address common pitfalls in FAIR data management
- Tools and strategies to assess and improve the FAIRness of your data (with examples)
- Opportunities and limitations: When FAIR meets reality
Together we’ll explore what FAIR means in practice. Bring your questions and your curiosity!
Mareike Christina Harms Buss is Senior Advisor for Research Data Management at CBS Library & Academic Services, Copenhagen Business School. With over 25 years’ experience in higher education and research support, she is passionate about helping researchers and students turn good data practices into everyday habits. At CBS she develops training programs, supports data management planning, and drives institutional strategy. Beyond CBS, Mareike is active in the Danish RDM Network, DeiC’s DM Advisory Forum, and the National FAIR Strategy working group D, as well as the Aurora University Alliance, the Research Data Alliance, and the EU project Skills4EOSC. She has co-created widely used learning resources, including the Research Data Management e-learning course, HowtoFAIR.dk and A FAIRy Tale.