%0 Journal Article %1 k2020transaction %A K., Fischer Rachel %A Aubrey, Iglesias %A L., Daugherty Alice %A Zhehan, Jiang %D 2020 %I Emerald Publishing Limited %J Library Hi Tech %K logfile_analyse %N 1 %P 249-262 %R 10.1108/LHT-09-2019-0199 %T A transaction log analysis of EBSCO Discovery Service using Google Analytics: the methodology %U https://doi.org/10.1108/LHT-09-2019-0199 %V 39 %X 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 studyFindings 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.

@article{k2020transaction, abstract = {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 studyFindings 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.}, added-at = {2021-03-03T14:41:16.000+0100}, author = {K., Fischer Rachel and Aubrey, Iglesias and L., Daugherty Alice and Zhehan, Jiang}, biburl = {https://www.bibsonomy.org/bibtex/2f41c60eb3f517845a40c1d3bed6940cc/wdees}, day = 01, doi = {10.1108/LHT-09-2019-0199}, interhash = {2280eaf9e3e058769936a1525e4fb248}, intrahash = {f41c60eb3f517845a40c1d3bed6940cc}, issn = {0737-8831}, journal = {Library Hi Tech}, keywords = {logfile_analyse}, month = jan, number = 1, pages = {249-262}, publisher = {Emerald Publishing Limited}, timestamp = {2021-03-03T14:41:16.000+0100}, title = {A transaction log analysis of EBSCO Discovery Service using Google Analytics: the methodology}, url = {https://doi.org/10.1108/LHT-09-2019-0199}, volume = 39, year = 2020 }