Purpose

The article presents a methodology that can be used to analyze data from the transaction log of EBSCO Discovery Service searches recorded in Google Analytics. It explains the steps to follow for exporting the data, analyzing the data, and recreating searches. The article provides suggestions to improve the quality of research on the topic. It also includes advice to vendors on improving the quality of transaction log software.

Design/methodology/approach

Case study

Findings

Although Google Analytics can be used to study transaction logs accurately, vendors still need to improve the functionality so librarians can gain the most benefit from it.

Research limitations/implications

The research is applicable to the usage of Google Analytics with EBSCO Discovery Service.

Practical implications

The steps presented in the article can be followed as a step-by-step guide to repeating the study at other institutions.

Social implications

The methodology in this article can be used to assess how library instruction can be improved.

Originality/value

This article provides a detailed description of a transaction log analysis process that other articles have not previously described. This includes a description of a methodology for accurately calculating statistics from Google Analytics data and provides steps for recreating accurate searches from data recorded in Google Analytics.

中文翻译：

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使用Google Analytics（分析）的EBSCO Discovery Service的交易日志分析：方法

目的

本文介绍了一种可用于分析Google Analytics（分析）中记录的EBSCO Discovery Service搜索的事务日志中的数据的方法。它说明了导出数据，分析数据和重新创建搜索时应遵循的步骤。本文为提高该主题的研究质量提供了建议。它还包括对供应商的建议，以提高交易日志软件的质量。

设计/方法/方法

案例分析

发现

尽管可以使用Google Analytics（分析）准确地研究交易日志，但是供应商仍然需要改进功能，以便图书馆员可以从中获得最大的收益。

研究局限/意义

该研究适用于将Google Analytics（分析）与EBSCO Discovery Service结合使用。

实际影响

本文中介绍的步骤可以作为在其他机构重复研究的逐步指南。

社会影响

本文中的方法可用于评估如何改进库指令。

创意/价值

本文提供了其他文章之前未描述的事务日志分析过程的详细描述。其中包括对根据Google Analytics（分析）数据准确计算统计信息的方法的描述，并提供了根据Google Analytics（分析）记录的数据重新创建准确搜索的步骤。