We are pleased to share the 19th program of the Electronic Resources and Libraries Conference reflecting our work to support the way we collect, manage, maintain, and make accessible electronic resources.
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Leveraging Python to automate collections analysis with journal metrics data
martes, el 5 de marzo de 2024 a las 14:15–15:15 CST add to calendar
Exhibit Hall/ Poster Hall
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Conference Track
2. Collection Development & Assessment
Audience Level
Intermediate
Keywords
python; journal rankings
Abstract
Journal metrics are useful data for collection assessment, but leveraging these data at scale can be challenging. Here, Python code is used to automate the process of comparing journal metrics data against a library's link resolver, generating informative reports -- useful for collection development and program reviews -- in minutes.