Breadcrumb

UC Love Data Week 2025

The UCR Library is excited to participate once again in UC Love Data Week, taking place February 10–14. 

This virtual UC-wide event offers a range of workshops and presentations designed to help the UC community better understand and manage their data.

From data access and preservation to cutting-edge topics like artificial intelligence, UC Love Data Week provides valuable resources for researchers at all levels.

The UCR Library is proud to host two workshops as part of this year’s lineup. The first, Data Research Repositories, Digital Scholarly Ecosystems, Open Science & AI Possibilities, led by Acting AUL for Research and Technology Ray Uzwyshyn and Maker Services Coordinator Brendon Wheeler, will explore these topics to help illustrate relationships between data and artificial intelligence.

The second workshop we are hosting is To Be or Not to Be: Photogrammetry and Virtual Reality Environments, presented by Innovative Media Librarian Alvaro Alvarez and Brendon Wheeler. They will go over how to store 3D data and how to engage the data with virtual reality using Unity. 

Participants can browse the full schedule of workshops and presentations and register at https://uc-love-data-week.github.io/. Make sure to register with your UC-campus email.


Library STEM Office Hours Data Week Event

Our Library STEM Team will be hosting drop-in office hours on February 12 to help you make sure your data is findable and reusable. 

February 12  |  12-1:30 - Love Data Week Dryad-a-thon!  |  Orbach Library Room 122
Do you have questions about depositing your data and making sure it’s findable and reusable? Are you ready to upload your data into Dryad, the Open Source data repository supported by the UCR Library? Join us for this special LibSTEM Team Office Hour for International Love Data Week we will be featuring a Dryad-a-thon where we will be going through step-by-step instructions on how to upload your data into the Dryad Research Repository, which allows you to create a persistent DOI and citation for your dataset. Bring your questions and enthusiasm, we’re here to help you learn more about data repositories and how to use Dryad, ICPSR or other data repositories like a pro.