Abstract For academic libraries, because budgetary pressures are nearly universal, it is imperative to evaluate journal packages regularly. This article presents an overview of the data and methods that the NC State University Libraries traditionally uses to evaluate journal packages and presents additional methods to expand our evaluation of publishing and editorial activity. We describe methods for downloading and analyzing Web of Science citation data to identify the most common publishers for NC State affiliated authors as well as the journals in which NC State authors publish most frequently. This article also demonstrates a custom Python web scraping application to harvest NC State affiliated editor data from publishers’ websites. Finally, this article discusses how these data elements are combined to provide a more comprehensive evaluative strategy for our journal investments.

中文翻译：

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只见森林：分析教师研究成果的工具

摘要 对于学术图书馆来说，由于预算压力几乎无处不在，定期评估期刊包势在必行。本文概述了北卡罗来纳州立大学图书馆传统上用于评估期刊包的数据和方法，并提供了其他方法来扩展我们对出版和编辑活动的评估。我们描述了下载和分析 Web of Science 引文数据的方法，以确定北卡罗来纳州附属作者的最常见出版商以及北卡罗来纳州作者最常发表的期刊。本文还演示了一个自定义 Python 网络抓取应用程序，用于从出版商的网站收集 NC State 附属编辑器数据。最后，