Abstract In order to build upon the research of Brett, the author categorized over three hundred e-resources troubleshooting tickets at The University of Alabama Libraries into a coding scheme originally created by Goldfinger and Hemhauser with the goal of cross-comparing the results with that of two other research libraries. The results of the analysis shed light upon the most commonly reported types of problems among the three institutions, and patterns emerged that could be indicative of industry-wide concerns. The author also developed a more specific, local classification schema in order to identify areas in which local solutions could be implemented to improve user experience.

中文翻译：

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我们的问题在哪里？比较三个研究机构的电子访问问题发生率

摘要 为了在 Brett 研究的基础上，作者将阿拉巴马大学图书馆的 300 多个电子资源故障排除票归类为最初由 Goldfinger 和 Hemhauser 创建的编码方案，目的是将结果与另外两个研究图书馆。分析结果揭示了三个机构中最常报告的问题类型，并且出现了可能表明整个行业关注的模式。作者还开发了一个更具体的本地分类模式，以确定可以实施本地解决方案以改善用户体验的领域。