Session 3: Rigorous, responsible and reproducible science in the era of FAIR data and AI

Recorded: Tuesday 14 October 2025
Presentation Session 3: Rigorous, responsible and reproducible science in the era of FAIR data and AI
Chair: Mark Parsons

DESCRIPTION
1. FAIR-by-design Pipelines to ensure reproducibility and transparency of innovative remote-sensing Data Products
Presenter: Fernando Aguilar Gómez

2. Evaluating the Effectiveness of an Open-Source Large Language Model in Drafting NIH Data Management Plans
Presenter: Becky Grady

3. EcoCommons: Advancing Reproducible and Scalable Ecological Modelling with FAIR Data
Presenter: Abhimanyu Raj Singh

4. AI-Ready Data Workflows for Social Science and Humanities
Presenter: Joan Giner Miguelez et al.

5. Integrated Reference Architecture for AI-Enabled Healthcare Research: An Australian Harmonized Approach
Presenter: Gnana Bharathy

6. FAIR for Now and into the Future: Building Blocks for Long-Term Data Stewardship in a Shared Data Repository Service
Presenter: Julie Shi

7. Supporting dataset curation through automation at KU Leuven
Presenter: Dieuwertje Bloemen; Ozgur Karadeniz

8. SOOSmap: Empowering Southern Ocean Research Through Data Access
Presenter: Michaela Miller et al.

This is a recording from International Data Week 2025: https://internationaldataweek.org/idw...

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0:00:00 Intro
0:00:32 FAIR-by-design pipelines
0:12:05 Open-Source Large Language Model
0:25:09 Ecological Modelling with FAIR data
0:36:38 AI Data-Ready workflows for HASS
0:49:33 AI & Advanced Analytics
1:01:27 FAIR for now and into the future
1:12:20 Supporting dataset curation
1:23:46 SOOSmap