RAMP – the Repository Analytics and Metrics Portal
| Autor: | Leila Belle Sterman, Jonathan Wheeler, Patrick OBrien, Jeff Mixter, Kenning Arlitsch |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Web analytics
Computer science Download business.industry 05 social sciences DSPACE Library and Information Sciences Page view 050905 science studies computer.software_genre World Wide Web Analytics Semantic analytics Robot 0509 other social sciences Web service 050904 information & library sciences business computer Information Systems |
| Zdroj: | Library Hi Tech. 35:144-158 |
| ISSN: | 0737-8831 |
| DOI: | 10.1108/lht-11-2016-0122 |
| Popis: | Purpose The purpose of this paper is to present data that begin to detail the deficiencies of log file analytics reporting methods that are commonly built into institutional repository (IR) platforms. The authors propose a new method for collecting and reporting IR item download metrics. This paper introduces a web service prototype that captures activity that current analytics methods are likely to either miss or over-report. Design/methodology/approach Data were extracted from DSpace Solr logs of an IR and were cross-referenced with Google Analytics and Google Search Console data to directly compare Citable Content Downloads recorded by each method. Findings This study provides evidence that log file analytics data appear to grossly over-report due to traffic from robots that are difficult to identify and screen. The study also introduces a proof-of-concept prototype that makes the research method easily accessible to IR managers who seek accurate counts of Citable Content Downloads. Research limitations/implications The method described in this paper does not account for direct access to Citable Content Downloads that originate outside Google Search properties. Originality/value This paper proposes that IR managers adopt a new reporting framework that classifies IR page views and download activity into three categories that communicate metrics about user activity related to the research process. It also proposes that IR managers rely on a hybrid of existing Google Services to improve reporting of Citable Content Downloads and offers a prototype web service where IR managers can test results for their repositories. |
| Databáze: | OpenAIRE |
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