Announcing the Inaugural Borealis Steering Committee and Governing Bylaws
Task Force Releases Interim Report on Machine Learning and AI in Academic Libraries
The interim report describes use cases for machine learning in university libraries and recommends projects that incorporate machine learning technologies. It also considers key issues such as ethical concerns, technical capacity, available expertise, and infrastructure needs.
Call for Expressions of Interest: Two Expert Groups for Shared Repositories Infrastructure
The Canadian Association of Research Libraries (CARL), the Ontario Council of University Libraries (OCUL) and University of Toronto Libraries, are collaboratively developing a National Institutional Repository Service (‘Scholaris’) to be hosted by Scholars Portal. Starting with an early adopters program of a limited number of institutions, the goal is to build Scholaris into a robust and scalable multi-institutional national repository service – one that is strengthened by a responsive, collaborative community of experts and repository practitioners.
OCUL Welcomes two new Visiting Researchers
Announcing the Recipients of the 2023 OCUL Award
Two Collaborative Futures project teams are being recognized for their achievements that helped enable the successful implementation of the Omni academic search tool and shared network in partner libraries across Ontario.
Registration Open: National Community of Practice for AI and Machine Learning in Academic Libraries
Happy Holidays! OCUL and Scholars Portal Office Closures
Happy holidays from your colleagues at OCUL and Scholars Portal!
OCUL will be closed for the holidays starting Thursday, December 21, 2023 and will return on Tuesday, January 2, 2024. Scholars Portal will be closed from Thursday, December 21, 2023 and will return on Wednesday, January 3, 2024.
We wish you all a happy and safe holiday season and the very best for 2024!
Ontario Council of University Libraries Appoints Task Force on Machine Learning and AI
A result of the task force’s work will be a report to OCUL Directors in spring 2024 that will provide an informed, strategic perspective on machine learning applications and their relevance as OCUL initiatives.