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Autori principali: Hicks, Sarah, Behary, R.
Natura: Recurso educativo Open Access
Lingua:en
Pubblicazione: 2020
Soggetti:
Accesso online:https://eric.ed.gov/?id=EJ1277745
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author Hicks, Sarah
Behary, R.
author_facet Hicks, Sarah
Behary, R.
Hicks, Sarah
Behary, R.
collection Education Resources Information Center
contents Toward Developing Performance Metrics for Library Print-Based Specialized Collections Using Available Circulation Data and Ratio Analysis Hicks, Sarah Behary, R. Library Materials Library Services Special Libraries Academic Libraries Resource Allocation Measurement Techniques Mathematical Concepts Data Use Decision Making Data Analysis Information Systems Users (Information) The purpose of this study is to contribute to the establishment of metrics that can be used by libraries to analyze, anticipate, and plan for resource allocation for specialized print-based collections within an academic library. In the context of transactions associated with the circulation of library materials, that is checkouts, renewals, and holds, the resources this study will propose includes two ratios that can be used for evaluating and justifying continued allocation of library resources to specialized print collections. These ratios proposed are the Proportionate Number (P/N) and Internal P/N (I-P/N) Ratios. Beginning with the conceptual framework of how data driven decision making can contribute to the operation of the library, the study will also provide concrete examples of how to analyze data from an Integrated Library System (ILS). Data will be presented for the case study of Gumberg Library at Duquesne University. The study hopes to address a perceived gap in the literature that percentage of users accessing a collection is often not considered in the analysis of circulation data.
format Recurso educativo Open Access
id eric_EJ1277745
institution ERIC Institute of Education Sciences
language en
publishDate 2020
record_format eric
spellingShingle Toward Developing Performance Metrics for Library Print-Based Specialized Collections Using Available Circulation Data and Ratio Analysis
Hicks, Sarah
Behary, R.
Library Materials
Library Services
Special Libraries
Academic Libraries
Resource Allocation
Measurement Techniques
Mathematical Concepts
Data Use
Decision Making
Data Analysis
Information Systems
Users (Information)
Toward Developing Performance Metrics for Library Print-Based Specialized Collections Using Available Circulation Data and Ratio Analysis Hicks, Sarah Behary, R. Library Materials Library Services Special Libraries Academic Libraries Resource Allocation Measurement Techniques Mathematical Concepts Data Use Decision Making Data Analysis Information Systems Users (Information) The purpose of this study is to contribute to the establishment of metrics that can be used by libraries to analyze, anticipate, and plan for resource allocation for specialized print-based collections within an academic library. In the context of transactions associated with the circulation of library materials, that is checkouts, renewals, and holds, the resources this study will propose includes two ratios that can be used for evaluating and justifying continued allocation of library resources to specialized print collections. These ratios proposed are the Proportionate Number (P/N) and Internal P/N (I-P/N) Ratios. Beginning with the conceptual framework of how data driven decision making can contribute to the operation of the library, the study will also provide concrete examples of how to analyze data from an Integrated Library System (ILS). Data will be presented for the case study of Gumberg Library at Duquesne University. The study hopes to address a perceived gap in the literature that percentage of users accessing a collection is often not considered in the analysis of circulation data.
title Toward Developing Performance Metrics for Library Print-Based Specialized Collections Using Available Circulation Data and Ratio Analysis
topic Library Materials
Library Services
Special Libraries
Academic Libraries
Resource Allocation
Measurement Techniques
Mathematical Concepts
Data Use
Decision Making
Data Analysis
Information Systems
Users (Information)
url https://eric.ed.gov/?id=EJ1277745