DataSpace@HKUST for FAIR Data Sharing
In today's data-driven research landscape, effective data management and sharing are essential for advancing knowledge.
In today's data-driven research landscape, effective data management and sharing are essential for advancing knowledge.
Earlier this month, the Allen Institute for AI (Ai2) introduced OLMoTrace, a tool that traces LLM outputs back to their multi-trillion-token training data in real time.
Our colleague Victoria Caplan, Head of Research & Learning Support at HKUST Library, joined Christopher Chan, University Librarian at HKBU, for an insightful podcast titled "Navigating Copyright in the Age of AI."
You may already know that our library subscribes to scite.ai, a popular AI research tool for searching literature. Are you using it to its full capabilities?
Academic publishing is in flux, and eLife, a pioneer in open-access biology research, finds itself at the heart of the storm.
Integrating patent research into your workflow is a strategic way to stay ahead of emerging trends, validate innovative ideas, and unlock new opportunities.
In today’s data-driven research landscape, the ability to extract insights from vast collections of text is no longer just an advantage—it's a necessity.
Do you dare to take the challenge? Explain your thesis in three minutes!
Research output is more than just journal articles — and now, ORCID reflects that. With new work types like images, musical compositions, conference presentations, and teaching materials, researchers across all disciplines can showcase their full range of contributions.