CODATA-RDA Data Science School — Atlanta 2026
Morning Workshop: Open Science in Practice
open-science
author-carpentry
research-integrity
FAIR
A full-day workshop introducing researchers to the practices, tools, and ethical frameworks behind open and responsible science. Sessions move from conceptual framing through hands-on tools to personal action planning.
Venue: Atlanta 2026 | SMART-DART
Full-Day Agenda
| Time | Session | Facilitator |
|---|---|---|
| 9:00 – 9:30 | Welcome & Framing — Why open science now: funder mandates, the reproducibility crisis, and what a research pipeline looks like when open practices are built in from the start | Renata |
| 9:30 – 10:15 | Author Carpentry — Open access landscape, preprints, licensing, ORCIDs, workflows, and author rights. Hands-on activity | Marcela |
| 10:15 – 10:30 | Coffee Break | |
| 10:30 – 11:30 | Open and Responsible Research — Research integrity, FAIR principles, ethical data use. Case discussions | Marcela |
| 11:30 – 13:00 | Lunch + Informal Discussion — Optional: 2–3 participants share a real reproducibility or data-sharing challenge. No slides, just conversation | |
| 13:00 – 14:30 | AI as an Open Science Tool — How tools like ChatGPT, Claude, and literature assistants fit within (not instead of) responsible open science. Prompt engineering basics for research tasks — literature review, summarization, writing support. Emphasis on transparency and documentation | Rob |
| 14:30 – 14:45 | Coffee Break | |
| 14:45 – 15:30 | Research Data Management — DMPs, metadata, file organization, repositories (Zenodo, OSF, domain-specific). Hands-on activity | Steve |
| 15:30 – 15:55 | Action Planning — Each participant writes one concrete open science commitment for the next month, tied to a current project. Share with a partner. Resource checklist distributed | |
| 15:55 – 16:00 | Close & Survey |
Session 1 — Author Carpentry
Open Access, Licensing, ORCIDs & Author Rights | 9:30 – 10:15
Learning objectives
By the end of this session, participants will be able to:
- Map their own research workflow across the six phases of the scholarly communication cycle and identify where openness can be introduced
- Distinguish between Open Access routes (Gold, Green, Hybrid, Diamond) and choose the one most appropriate for their situation
- Select the correct license for different research outputs — CC BY for articles and teaching materials, CC0 for data, and software-specific licenses for code
- Explain the value of reproducible research practices (version control, literate programming, open data formats) for their own future self as well as for the broader community
- Create an ORCID profile and connect it to their publications, datasets, and grants
- Understand their rights as an author before signing a publishing agreement and know how to check journal policies via SHERPA/RoMEO
- Describe current publisher expectations for disclosure and accountability when using generative AI in writing or analysis
Session 2 — Open and Responsible Research
Integrity, FAIR Principles & Ethical Data Use | 10:30 – 11:30
Learning objectives
By the end of this session, participants will be able to:
- Articulate the principles of Responsible Conduct of Research (RCR) and explain why these are community-level obligations, not just individual ones
- Describe the structural causes of the reproducibility crisis and how open practices — pre-registration, shared data, shared code — address them
- Apply the four FAIR principles (Findable, Accessible, Interoperable, Reusable) to their own datasets and identify practical first steps toward compliance
- Recognize how bias enters algorithmic systems and what questions to ask when adopting or building data-driven tools
- Use generative AI tools responsibly in research contexts — with appropriate verification, disclosure, and awareness of limitations
- Analyse real-world cases of research ethics challenges and propose responses grounded in the principles covered in the session