Data Services Award: Building Capacity Among Librarians for Machine Learning Applications to Bibliographic Data

This project will develop an open access, web-based user interface for machine learning tools currently in use as desktop applications by UNC Health Sciences Library (HSL) and create an accompanying full-day curriculum to be delivered to research librarians at multiple institutions at no cost. This funding will allow UNC HSL to share their expertise with other institutions around applying these innovative approaches to analyzing bibliographic data. Machine learning approaches in use at UNC HSL include desktop applications with publicly available algorithms (e.g., K-means, nonnegative matrix factorization, latent dirichlet allocation, Naïve Bayes) used for clustering, semi-supervised learning, and machine learning. Other applications of these tools include the ability to analyze collections, impact, and other library-specific data.  


Project Lead: Nandita S. Mani


Roles of Participants Project is Intended to Serve: Data Scientist, Library or Information Professional, Public Health Professional, Researcher, Health Professional, Library Staff - Community College, Library Staff - Health Sciences, Library Staff - Other, Library Staff - Public

Award Details

Funding Source: Region 1
Project Category: Data
Period of Performance: Dec 1, 2021 - Apr 30, 2022
Project Status: Completed

Project Funding