Notes on Operations: Using Automation and Batch Processing to Remediate Duplicate Series Data in a Shared Bibliographic Catalog

Authors

  • Elaine Dong
  • Margaret Anne Glerum
  • Ethan Fenichel

DOI:

https://doi.org/10.5860/lrts.61n3.143

Abstract

The application of divergent local practices in a shared bibliographic database can result in unexpected display issues that adversely affect user experience. This is especially problematic when merging databases from multiple institutions accustomed to adopting local practices for their own constituents. The authors describe their experience with the application of automation tools, such as MarcEdit, Excel, and Python, during a large-scale remediation project. They used these tools to analyze, compare, and batch process bibliographic records to remediate obsolete and redundant series data in their shared bibliographic database.

Author Biography

Elaine Dong

Elaine Dong (edong@fiu.edu) is the Database & Metadata Management Librarian at Florida International University. Margaret Anne Glerum (aglerum@ fsu.edu) is the Associate University Librarian and Head of Complex Cataloging at Florida State University Libraries in Tallahassee. Ethan Fenichel (fenichele@fau.edu) is the E-Resources Access Management Librarian at Florida Atlantic University.

Downloads

Published

2017-07-14

Issue

Vol. 61 No. 3 (2017): July

Section

Notes on Operations

License

Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC-BY-NC 4.0) that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.

Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.

Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) after it has been accepted for publication. Sharing can lead to productive exchanges, as well as earlier and greater citation of published work.