Collaborative notes https://docs.google.com/document/d/1B4xfcrI8a5mLr29LdusM3FddDQDtreuT/edit

This session will offer an overview of the current landscape of RDM training, exploring how it has evolved to meet the shifting needs of diverse research communities. We will assess the effectiveness of current approaches and examine their impact on different audiences, from students and PhD students to data stewards, support staff and indigenous/community-driven research through a combination of presentations, interactive discussions, and knowledge-sharing. 

The session will examine:

• How RDM training adapts across disciplines and regions, in response to institutional priorities, policy shifts, and evolving researcher needs
• Innovative and inclusive training approaches, including gamification, embedded learning, peer-to-peer models, and AI-supported tools
• Long-term capacity building, with a focus on sustainability, securing funding, and creating space for community-led and culturally respectful training

Key discussions will focus on removing barriers to research data access, building equitable and sustainable training programmes, and identifying the support structures needed for long-term success.

We will also explore the integration of AI in RDM training, highlighting its potential to transform learning and the ethical considerations it raises. By considering the needs of various stakeholders and communities, this session aims to identify practical and effective training strategies, as well as sustainable approaches that empower researchers and foster open, responsible research practices. The insights gathered will help shape future directions for inclusive and impactful RDM capacity building.

Beginning with an introduction to the ETHRD-IG, this session will emphasize the critical role of Research Data Management (RDM) education in today’s academic and research environment. We will explore the evolution of RDM training to address the shifting needs of diverse research communities.

We invite the community to share their experiences in delivering RDM training, highlighting both good practices and challenges. 

By bringing together diverse perspectives, this session aims to identify effective training strategies and sustainable approaches that empower communities and foster open, responsible research practices.

Part 1 (15 min): Welcome

• Introduction, invite for new co-chairs from outside of Europe
• Overview of current work, goals for this meeting (7 min)
  • Goals for this meeting (2 min)
  • Focus group 1 
  • Questions (2 min)

Part  2 (60 min): Evolution of training  

1. Presentations from the community (5 min each presentation + introduction of participations)

• Assessing effectiveness and effects of RDM training (5 min)
• Sustaining training programs – funding and audience perspective (5 min)

2. Discussion „The Lifecycle of RDM Training: From Assessment to Long-term Support” (20 min) 

3. Presentations from the community (5 min each presentation + introduction of participations)

• AI tools used in RDM training ( 2 x 5 min presentation) 

4.  Discussion „AI-Powered RDM Training: Hype or Help?” – (20 min) 

Part 3 (15 min): Next steps 

• Summary of key points discussed
• Outline the next steps 
• Align around goals for P26

 This meeting will be of benefit to: 

• those directly involved in teaching and training data skills
• policy developers working on increasing capacity and enabling data skills
• projects and initiatives focused on data related skills development
• librarians working with research data
• representatives from Higher Education Institutes
• Data stewards, research support staff, and trainers exploring the integration of AI in RDM education and support.
• Members of Indigenous communities or those engaged in research data management training

Attendees can prepare by:

• Reflecting on their experiences in educating and training practising researchers on handling research data over few years
• Reviewing ETHRD-IG group site and wiki 

Reviewing notes and presentations from past meeting