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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University Library System, University of Pittsburgh
2013-10-01
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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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