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MAPing Scopus and Web of Science: Using Massive Amounts of Data for Collection Analysis
Conference Track
2. Collection Development & Assessment
Keywords
collection analysis, web of science, scopus, google scholar, data
Learning Objectives
Following this session, participants will be able to name 2-3 data sources useful for triangulating usage of electronic resources particularly helpful when comparing like databases, as well as be able to understand how to complement quantitative usage data with appropriately collected qualitative data.
Abstract
For a decade, UConn Libraries subscribed to Web of Science and Scopus, which enabled our Massive Analysis Project (MAP) of the two to determine which best meets user needs cost-effectively.
We explain types of analysis conducted, how we reached our recommendations, and subsequent reactions from the UConn community and beyond.
Presenters
![[photo]](https://secure.gravatar.com/avatar/7fef15a151c6b9c29616fe0225f95706.png?d=https://proposalspace.com/images/no_photo.png&r=PG&s=50 "Ms. Galadriel Chilton, University of Connecticut")
Ms. Galadriel Chilton, University of Connecticut
![[photo]](https://secure.gravatar.com/avatar/bf27c1d6a46a9171dfb6c9276bc74206.png?d=https://proposalspace.com/images/no_photo.png&r=PG&s=50 "Ms. Joelle Thomas, University of Connecticut")