Pillar 2: FAIR

Our vision is to foster a research culture in which the sharing and reuse of research data and software are the norm- recognized as indispensable scholarly assets, valued for their reusability, impact, and lasting contribution to knowledge. We are committed not only to increasing the volume of shared data and software, but also to enhancing their quality in accordance with the FAIR principles (Findable, Accessible, Interoperable, and Reusable), thereby promoting their reuse.

This vision is realized through the development and delivery of targeted training and workshops, direct consultancy for researchers, and active engagement in policy development and advisory. By doing so, we can help tackle contemporary challenges in scholarly research, such as publication biases or the replication crisis, as well as empower future research to be more open, collaborative, and impactful.

Deliverables:

• Develop FAIRification workshop
• Create a guide for data stewards for ‘Ensuring your RDMP/RSMP consultancy is FAIR'
• Develop 'Find data to re-use for your next PhD chapter' workshop (with Gopher)
• Integrate RDMS with DataverseNL to increase publication of metadata
• (UMCG) Creating a FAIR data and software management information hub for UMCG researchers
• (UMCG) Establishing a FAIR data management workshop for GSMS PhDs
• (UMCG) Developing a Software Management Plan
• (UMCG) Organizing a (bi-)annual FAIR data symposium