Borrowing trouble? The impact of a systematic review service on interlibrary loan borrowing in an academic health sciences library

J Med Libr Assoc. 2021 Jan 1;109(1):84-89. doi: 10.5195/jmla.2021.1005.

Abstract

Background: With the mandate to review all available literature in the study's inclusion parameters, systematic review projects are likely to require full-text access to a significant number of articles that are not available in a library's collection, thereby necessitating ordering content via interlibrary loan (ILL). The aim of this study is to understand what effect a systematic review service has on the copyright royalty fees accompanying ILL requests at an academic health sciences library.

Case presentation: The library created a custom report using ILLiad data to look specifically at 2018 ILL borrowing requests that were known to be part of systematic reviews. This subset of borrowing activity was then analyzed to determine its impact on the library's copyright royalty expenditures for the year. In 2018, copyright eligible borrowing requests that were known to be part of systematic reviews represented only approximately 5% of total filled requests that involved copyright eligible borrowing. However, these systematic review requests directly or indirectly caused approximately 10% of all the Spencer S. Eccles Library copyright royalty expenditures for 2018 requests.

Conclusion: Based on the sample data set, the library's copyright royalty expenditures did increase, but the overall financial impact was modest.

MeSH terms

  • Copyright / economics*
  • Copyright / statistics & numerical data
  • Humans
  • Interlibrary Loans / economics*
  • Interlibrary Loans / statistics & numerical data
  • Libraries, Medical / economics*
  • Libraries, Medical / statistics & numerical data
  • Library Collection Development / economics*
  • Library Collection Development / statistics & numerical data
  • Organizational Case Studies
  • Periodicals as Topic / economics*
  • Periodicals as Topic / statistics & numerical data
  • Systematic Reviews as Topic
  • United States