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Day 3
Session 2

From Researcher Metadata to Stewards Metadata

Enhancing Quality Across the Workflow

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Find out more about this session

1. What is the focus of this session?expand collapse

This workshop focuses on the post-submission phase of data curation, how data stewards enhance and enrich researcher-submitted metadata to improve FAIRness, clarity, and reusability. It emphasizes real-world, qualitative stewardship tasks, not technical deposit procedures.

2. Why is this a closed session?expand collapse

Due to the hands-on, mentor-guided format and the use of sandbox environments, this workshop is limited to 30 selected participants. Priority is given to early-career data stewards with compatible bios and active interest in metadata curation.

3. How is this session structured?expand collapse

Participants will split into two rotating hands-on group tracks: Group A: Gap-spotting, metadata quality checks, and curation checklist application Group B: Metadata enrichment using PIDs, vocabularies, and alignment with supporting documentation. Each group will rotate after 30 minutes to experience both tracks.

4. What tools or platforms will be used?expand collapse

The Dataverse sandbox will be used to work with mock or flawed metadata submissions. However, this is not a publishing simulation, it is strictly focused on curation, refinement, and stewardship interventions after submission.

5. What makes this different from the metadata session before?expand collapse

The DANS session teaches how to prepare and deposit metadata in a repository. This session focuses on what happens after that: spotting errors, curating content, and improving documentation for better interoperability and reuse.

6. What will I learn by the end of the workshop?expand collapse

You will: Detect metadata gaps and quality issues Apply structured methods to improve metadata using checklists and templates Integrate persistent identifiers (e.g., ORCID, ROR, DOIs) and controlled vocabularies Align metadata with associated documentation (README, codebooks, etc.) Produce annotated before/after curation examples

7. What kind of support will I receive during the session?expand collapse

The facilitators will guide each group, offering real-time feedback. Participants will also have access to metadata checklists, vocabularies, and mock records to support their exercises.

8. Can I apply these techniques in my own institution?expand collapse

Absolutely. The goal is to equip you with practical strategies and reusable tools that can be adapted to institutional repository or disciplinary contexts.

9. Is participation required for certification?expand collapse

Yes. Since this is a closed, advanced-level session, participants must actively attend and complete the workshop in order to fulfill part of the Bootcamp certification criteria.

10. How do I join this session?expand collapse

If you’re interested, please indicate your interest in your Bootcamp registration form. Only 30 participants will be selected based on their bio compatibility, with emphasis on early-career data stewards and priority upon registration. Confirmations and pre-session materials will be sent in advance.

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13:30–13:40 — Kick-off & Framing

Get introduced to the session goals and explore why stewardship begins after submission. Understand how quality metadata impacts discoverability, reuse, and ethical data sharing.

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13:40–14:20 — Group A/B Round 1

Join your first group track. Either work with Paula on spotting metadata gaps using a real curation checklist, or with Agnieszka on enriching metadata using PIDs, vocabularies, and documentation alignment.

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14:20–15:00 — Group A/B Round 2

Switch tracks and experience the second workshop. This rotation ensures you get both perspectives: quality review and domain-relevant enhancement.

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Throughout — Live Practice in the Sandbox

You’ll use the Dataverse sandbox not to simulate a deposit, but to curate existing records. Practice hands-on improvements in a safe environment with expert guidance.

Why Join: From Researcher Metadata to Steward Metadata: Enhancing Quality Across the Workflow

If you're an early-career data steward or RDM support professional looking to strengthen your practical skills, this hands-on session is for you. Rather than focusing on how to publish datasets, this workshop dives into what happens after data is submitted. You'll learn how to identify gaps in researcher-provided metadata, enrich records using persistent identifiers and vocabularies, and align documentation with FAIR and ethical standards. Working with real examples in a Dataverse sandbox environment, you’ll walk away with concrete techniques to raise metadata quality and steward data more confidently in your institutional or disciplinary context.

Meet Our Trainers & Mentors

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Agnieszka Cybulska-Phelan

Research Data Management Specialist, University of Warsaw (ICM UW)  

Poland 

Agnieszka Cybulska-Phelan

Education & training specialist, research data repository administrator, Polish NOAD, and active member of OpenAIRE's RDM WG and CoP, trainer at OpenAIRE’s Data Steward Bootcamp.
 

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Paula Moura

Profissional de Informação & Colab. na Gestão de Projetos de Ciência Aberta-UMinho
Portugal

Paula Moura

 Since 2017, Paula Moura manages Minho’s Data RepositoriUM, contributing to national/international Open Science projects. With degrees in History, LIS, and Information Management, she specialized in Information Systems in 2020.

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

Training organized in collaboration with

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Join our RDM WG

For becoming part of our RDM community contact us by signing up below and we will contact you asap.

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From Researcher Metadata to Stewards Metadata

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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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