Day 3
Session 2
From researchers' data to stewards' metadata: Enhancing quality across the workflow

Find out more about this session

1. What is the focus of this session?

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?

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?

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?

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?

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?

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?

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?

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?

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?

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.

11:30–11:40 — Kick-off & Framing

Participants will dive straight into the big picture, discovering why the real work of stewardship begins after submission and how good metadata fuels visibility, reuse, and ethical sharing.

11:40–12:10 — Group Rotation, Round 1

Participants will roll up their sleeves in their first group, tackling real datasets to spot gaps or add missing details. They will sharpen their eye for quality and learn how small fixes make a big difference.

12:10–12:40 — Group Rotation, Round 2

Participants will switch tracks to gain the other perspective, experiencing how quality checks and thoughtful enhancements go hand in hand. They will see how curation turns “good enough” into data that truly travels.

Throughout — Practice in the Dataverse Sandbox

Participants will work directly in the Dataverse sandbox with ready-made test datasets, experimenting in a safe space. They will practice the mindset of a curator and leave with techniques ready to use back home.

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

card image

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.

card image

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.

Featured courses

Beginner

Research Data Management

Research Data Management (RDM) for Data Stewards

Agnieszka Cybulska-Phelan

This bootcamp equips early-career data stewards with practical skills in Researc...

7 Lessons

Updated: Oct 2025

77 Enrolled

View Course

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.

Training organized in collaboration with

Join our RDM WG

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

Empowering the Next Generation of Data Stewards!

Hands-on training for ethical, FAIR-aligned, and Open Science-ready research data management

Skills That Matter Across the Research Data Lifecycle

From metadata to ethical sharing: train with real tools, real cases, and real responsibilities.

Interactive. Practical. Stewardship-Focused.

Designed for hands-on learners, this Bootcamp combines expert guidance with peer-driven collaboration.

Day 3Session 2From researchers' data to stewards' metadata: Enhancing quality across the workflow

From researchers' data to stewards' metadata: Enhancing quality across the workflow

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

Agnieszka Cybulska-Phelan

Agnieszka Cybulska-Phelan

Paula Moura

Paula Moura

Agnieszka Cybulska-Phelan

Wanna dive deeper and get certified?

Join our RDM WG

Day 3
Session 2
From researchers' data to stewards' metadata: Enhancing quality across the workflow