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Day 3
Session 1

A deeper dive into putting FAIR RDM into practice

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Find out more about this session

1. What is the main focus of this session and is this a closed workshop?expand collapse

This session offers a structured, intermediate-level exploration of four foundational elements of FAIR Research Data Management (RDM): Metadata, Persistent Identifiers (PIDs), Licenses, and Repositories. It concludes with a hands-on publishing exercise using Zenodo or Dataverse.Yes this is a closed workshop marked with a star, available to the selected candidates in order to claim the Certificate of Completion.

2. How are repositories discussed?expand collapse

You’ll learn how to identify and evaluate suitable data repositories for your discipline using tools like re3data and FAIRsharing, and understand how repositories align with FAIR expectations.

3. What topics will be covered?expand collapse

Participants will engage with: The structure and importance of metadata and knowledge organization systems The purpose and functioning of PIDs and the PID ecosystem License selection and compliance strategies Repository classification and selection based on disciplinary fit

4. What makes this session different from other FAIR RDM sessions?expand collapse

This session builds on earlier bootcamp topics by moving into practical application and cross-cutting knowledge. It links core FAIR concepts together in a single workflow and helps participants simulate an actual data deposit, offering a holistic, scenario-based experience.

5. Will there be hands-on activities?expand collapse

This session provides a self-paced course in FAIR advanced asynchronous learning. Participants will receive detailed instructions and access to one of the closed workbooks required for certification. Successful completion of the course and workbook will qualify them to receive a certificate of completion.

6. What is the role of metadata in this session?expand collapse

You’ll explore metadata types (descriptive, administrative, structural), learn to consult metadata registries, and understand how metadata supports all four FAIR principles. The session will also introduce Knowledge Organization Systems such as ontologies and vocabularies.

7. What is the main focus of this session and is this a closed workshop?expand collapse

This session offers a structured, intermediate-level exploration of four foundational elements of FAIR Research Data Management (RDM): Metadata, Persistent Identifiers (PIDs), Licenses, and Repositories. It concludes with a hands-on publishing exercise using Zenodo or Dataverse.Yes this is a closed workshop marked with a star, available to the selected candidates in order to claim the Certificate of Completion.

8. What will I learn about licensing?expand collapse

The session presents guidance on how to choose the right license for your dataset, focusing on Creative Commons licenses and the services that help determine appropriate licensing options for FAIR-compliant data reuse.

10. What are the main takeaways from this session?expand collapse

By the end of the session, you’ll be able to: Integrate metadata, PIDs, licensing, and repository knowledge into your RDM practice Confidently prepare and deposit FAIR-compliant datasets Recognize the value of each FAIR element in enhancing data reuse and visibility. Self paced course for asynchronous learning will be provided to the selected candidates.

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9:30–9:50 — Metadata Matters

Learn how to distinguish different types of metadata and how to find standards relevant to your discipline. Explore how metadata fuels all four FAIR principles. 

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 9:50–10:20 — PIDs & Licensing

Understand the Persistent Identifier ecosystem and how to connect research outputs with ORCID, DOI, and ROR. Learn how to choose the right license to maximize reuse.

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10:20–10:35 — Repositories & Tools

Explore how to select trusted repositories using RE3DATA and FAIRsharing, and discover the differences between generalist, disciplinary, and institutional options.

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10:35–11:00 — FAIR in Action

Apply your knowledge in a guided dataset deposit exercise using Dataverse or Zenodo. Practice integrating all FAIR elements and reflect on how they improve visibility and reuse.

Why Join: A Deeper Dive into Putting FAIR RDM into Practice

Ready to move beyond theory and truly implement FAIR principles in your daily research data management work? This hands-on session is ideal for early-career researchers and data stewards who want to confidently prepare and deposit datasets that are both compliant and reusable. You'll gain practical knowledge of metadata standards, persistent identifiers, licensing choices, and repository selection and put them into action in a guided exercise. If you're looking for a solid, practice-based boost to your FAIR RDM skills, this session is your next step.

Meet Our Trainers & Mentors

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 Michelle van den Berk

Research Data Management Specialist

Netherlands

 Michelle van den Berk

Michelle van den Berk, Research Data Specialist at DANS, has expertise in digital scholarship, Open Access, data management, and sustainability, with prior roles at Leiden University, KITLV, and NIWI–KNAW.

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René van Horik

Research Data Management Specialist

Netherlands

René van Horik

René works as senior project manager at DANS in the Netherlands. He is involved a EU projects that work on the implementation of the European Open Science Cloud, such as EOSC-hub, FREYA and SSHOC.

Wanna dive deeper and get certified?

Register here to join our closed and advanced-level workshops on FAIR Research Data Management & Data Stewardship.
Spaces are limited – priority is given to early-career data stewards with relevant experience that register first.

You will receive all necessary info's for Certificate of Completion upon selection.

Register

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A deeper dive into putting FAIR RDM into practice

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OpenPlato is a modular learning platform developed by OpenAIRE to support training in Open Science, Research Data Management, and related topics across Europe. It offers self-paced courses, live sessions, and community-driven resources tailored for Research communities.

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