Efficient Large-Scale Scientific Data Transfers for Research In-Person
Discover how to move massive datasets quickly, reliably, and efficiently. This in-person, hands-on session introduces modern tools, protocols, and best practices that go beyond traditional file transfer methods. Participants will learn how to optimize performance, avoid common bottlenecks, and accelerate the time from data collection to research outcomes. Through practical demonstrations, real-world use cases, and shared insights, the workshop highlights often-overlooked components of research workflows—empowering graduate students, faculty, and staff to streamline data-intensive projects and collaborate more effectively across institutions.
Learning Outcomes
By the end of this session, participants will be able to:
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Apply modern data transfer tools and protocols to move large datasets more efficiently.
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Identify and troubleshoot common bottlenecks in end-to-end research data workflows.
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Implement best practices to accelerate collaboration and data sharing across institutions.
Related LibGuide: Research Data Management : Data Sharing by Rawan Karsou
- Date:
- Thursday, October 16, 2025
- Time:
- 2:00pm - 4:00pm
- Time Zone:
- Baghdad, East Africa Time (change)
- Location:
- Building 9 (Room 2220)
- Campus:
- KAUST
- Audience:
- KAUST Faculty KAUST Researchers KAUST Staff KAUST Students Library Staff M.Sc. Students PhD Students Post Docs Visiting Students
- Categories:
- Trainings
KAUST IT
Science Engagement Network Engineer