Getting Started With Electronic Reference Statistics: Case Studies and Best Practices for Collection and Analysis

<div><p class="AbstractParagraph">Collecting reference statistics is an important facet of academic librarianship. Having accurate, shareable data about the services a library provides is key to understanding the needs of users and highlighting the importance of the library wit...

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Main Authors: Elaine H. Dean, Maureen Williams
Format: Article
Language:English
Published: University Library System, University of Pittsburgh 2013-10-01
Series:Pennsylvania Libraries: Research & Practice
Online Access:http://palrap.org/ojs/index.php/palrap/article/view/16
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spelling doaj-6ed061880f004720a73db1f12abdf33a2020-11-24T22:01:22ZengUniversity Library System, University of PittsburghPennsylvania Libraries: Research & Practice2324-78782013-10-011213514810.5195/palrap.2013.1628Getting Started With Electronic Reference Statistics: Case Studies and Best Practices for Collection and AnalysisElaine H. Dean0Maureen Williams1Penn State Hershey Harrell Health Sciences LibraryNeumann University<div><p class="AbstractParagraph">Collecting reference statistics is an important facet of academic librarianship. Having accurate, shareable data about the services a library provides is key to understanding the needs of users and highlighting the importance of the library within the overall institution. While many libraries collect reference statistics on paper, gathering this data using an electronic statistics system is an efficient and customizable way to track and analyze reference service trends. By detailing Neumann University Library and Harrell Health Sciences Library’s experiences with two different but equally effective systems, this article will explore the complexities of implementing, customizing, and analyzing the data from an electronic reference statistics system. The authors also discuss challenges encountered and offer recommendations and best practices for others wishing to explore electronic reference statistic collection.</p></div>http://palrap.org/ojs/index.php/palrap/article/view/16
collection DOAJ
language English
format Article
sources DOAJ
author Elaine H. Dean
Maureen Williams
spellingShingle Elaine H. Dean
Maureen Williams
Getting Started With Electronic Reference Statistics: Case Studies and Best Practices for Collection and Analysis
Pennsylvania Libraries: Research & Practice
author_facet Elaine H. Dean
Maureen Williams
author_sort Elaine H. Dean
title Getting Started With Electronic Reference Statistics: Case Studies and Best Practices for Collection and Analysis
title_short Getting Started With Electronic Reference Statistics: Case Studies and Best Practices for Collection and Analysis
title_full Getting Started With Electronic Reference Statistics: Case Studies and Best Practices for Collection and Analysis
title_fullStr Getting Started With Electronic Reference Statistics: Case Studies and Best Practices for Collection and Analysis
title_full_unstemmed Getting Started With Electronic Reference Statistics: Case Studies and Best Practices for Collection and Analysis
title_sort getting started with electronic reference statistics: case studies and best practices for collection and analysis
publisher University Library System, University of Pittsburgh
series Pennsylvania Libraries: Research & Practice
issn 2324-7878
publishDate 2013-10-01
description <div><p class="AbstractParagraph">Collecting reference statistics is an important facet of academic librarianship. Having accurate, shareable data about the services a library provides is key to understanding the needs of users and highlighting the importance of the library within the overall institution. While many libraries collect reference statistics on paper, gathering this data using an electronic statistics system is an efficient and customizable way to track and analyze reference service trends. By detailing Neumann University Library and Harrell Health Sciences Library’s experiences with two different but equally effective systems, this article will explore the complexities of implementing, customizing, and analyzing the data from an electronic reference statistics system. The authors also discuss challenges encountered and offer recommendations and best practices for others wishing to explore electronic reference statistic collection.</p></div>
url http://palrap.org/ojs/index.php/palrap/article/view/16
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