Research Data Management and Archiving – Powering the Next Wave of AI Development

About Course

Date: 25th – 27th February 2026

Venue: Online (MS Teams)

Training Fee: $100

Registration closes on 18th February 2026

Learning Objectives

• To explain the link between RDM, archiving, and AI deployment.
• To apply FAIR principles and metadata standards to structure AI-ready datasets.
• To implement workflows for data collection, cleaning, curation, and long-term storage.
• To evaluate ethical, legal, and policy implications of AI-driven data reuse.
• Design institutional data governance strategies to foster AI innovation.
• Produce a comprehensive Data Management Plan (DMP) aligned with AI deployment needs

Teaching Methods

• Lectures: Introduce key concepts and frameworks
• Case Studies: Highlight successes and failures in AI/data projects
• Hands-on Labs: Apply tools like CKAN. Dataverse.
• Group Work: Collaborative design of DMPs