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Survey of Cataloging & Metadata Librarians: Use of Artificial Intelligence Tools

Publisher Primary Research Group
Published Aug 10, 2025
Length 103 Pages
SKU # PF20773205

Description

This timely report explores how metadata professionals—primarily from U.S. research universities—are integrating AI technologies into their workflows, cataloging practices, and metadata management.

The report is based on detailed survey responses from 47 metadata librarians, offering a unique window into the evolving role of artificial intelligence in academic libraries.

Key Findings from the Report Include:

Growing Adoption of AI Tools:
Over 38% of respondents reported actively using AI tools in their cataloging or metadata work, with many citing tools like ChatGPT, MARCedit with AI plugins, and machine learning-based classification systems.
Training & Skill Development:
51% of librarians indicated they had received some form of training or professional development related to AI, though only 19% felt “very confident” in applying AI tools effectively.
Concerns About Accuracy and Ethics:
A significant 63% of respondents expressed concerns about the reliability and ethical implications of using AI in metadata creation, particularly regarding bias and transparency in automated subject classification.
Impact on Workload and Efficiency:
44% of librarians noted that AI tools had helped reduce repetitive tasks, such as authority control and metadata enrichment, allowing more time for complex cataloging decisions.
Institutional Support Varies Widely:
While 29% of respondents said their institutions actively encourage experimentation with AI, 36% reported little to no institutional guidance or support for AI integration.
This report is an essential resource for library administrators, metadata professionals, and academic technologists seeking to understand the current landscape and future potential of AI in library cataloging. The study gives highly specific data about the use of particular AI products and tracks current and expected future usage.

Table of Contents

103 Pages
Table 1.1 How familiar are you with AI-driven applications for metadata creation and cataloging (e.g., OpenForge, Enhance, MetaEnhance, OCLC linked data tools, GPTbased cataloging assistants)?
Table 2 Which AI applications or platforms has your library used for metadata/cataloging? (Select all that apply)
Table 3 In which metadata/cataloging areas is your library applying AI tools? (Select all that apply)
Table 4.1 How satisfied are you with the AI tools your library has used for cataloging?
Table 5.1 How would you describe your general attitude toward AI in metadata/cataloging?

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