Making Research FAIR: Insights and Applications in Clinical Psychology

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The “FAIR” data guiding principles aim to make research data easier to share and reuse, for greater scientific impact. FAIR stands for making data simple to Find, easy to Access, Interoperable across systems, and ready for future Reuse. FAIR is community-driven, encourages collaboration, sparks innovation, strengthens research integrity, and reduces participant burden, all while advancing more open and impactful science.

Here’s what you can expect:

· A basic introduction to the FAIR principles.

· A case example of implementing FAIR principles in practice.

· A discussion on how making data FAIR can benefit your projects and the broader scientific community.