Bootcamps
Hands-on learning for open science doers
Practical, expert-led programmes that help you apply open and FAIR in real projects. Learn by doing and leave with templates, checklists, and a plan you can use next week.
221
applications
received
115
professionals
selected
40
countries
represented
What makes our bootcamps different
Compact, practice-first learning for researchers, data stewards, repository managers, and policy makers. Each cohort blends live workshops, real-world casework, and self-paced study on OpenPlato.
Build skills with guided exercises and expert feedback
Work on real scenarios from your context
Take away reusable tools, templates, and workflows
Who it is for
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Researchers and RDM practitioners who want to apply FAIR across the lifecycle
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Repository, CRIS, and service managers who need interoperable, AI-ready metadata
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Policy, funder, and institutional staff aligning practice with open science policies
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Community trainers scaling capacity in their organisations
What you will learn
- Plan and organise – map your lifecycle, stakeholders, and data flows
- Publish and connect – make outputs findable and linked
- Go FAIR and AI-ready – standards, PIDs, and quality checks
- Govern and sustain – policies, licences, and responsible metrics
Verifiable OpenAIRE badges
Participants who complete core assignments earn OpenAIRE Open Badges that recognise practical competencies in Open Science training. Badges are designed for portability and verification, so you can showcase your skills on profiles and CVs.
Format and time commitment
Cohort-based with small groups. Live online sessions, optional in-person sprints, project-based assignments with feedback, and self-paced modules on OpenPlato.
Typical time: 2–4 half-days live + 4–6 hours self-paced