The emergence of artificial intelligence (AI) technologies is reshaping how
libraries manage, create, and enhance metadata and technical services. From
automated subject indexing and authority control to machine learning-driven
cataloging tools, AI offers opportunities to improve efficiency,
scalability, and discovery in library workflows. Yet, these developments
also raise important questions regarding data quality, transparency,
ethics, and the evolving role of metadata professionals.
This special issue of the Journal of Library Metadata aims to explore
current practices, innovations, and critical perspectives on AI
implementation in library metadata and technical services. We welcome
research articles, case studies, and conceptual pieces that examine the
promises, challenges, and real-world impacts of integrating AI into
metadata work.
Topics:
Recommended topics include, but are not limited to:
- Use of AI tools (e.g., machine learning, NLP, LLMs) in metadata
creation, enhancement, and remediation
- Integrating AI into integrated library systems (ILS) or library
services platforms (LSPs)
- Ethical and professional considerations in AI-generated metadata
- Evaluating the accuracy and reliability of AI-generated subject
metadata/keywords or descriptions
- Impact of AI tools on labor, staffing, and training in technical
services
- Case studies on institutional implementations of AI in metadata
workflows
- Linked Data and AI intersections in library metadata
- Data governance and quality control in AI-assisted metadata systems
- Collaborations between libraries, vendors, and researchers on AI
initiatives
The tentative schedule is as follows:
- Abstract of up to 1,000 words clearly outlining the objectives and
scope of their proposed article should be emailed to the guest editor at
ttian_at_nd.edu by: *December 1, 2025*
- Notification of acceptance of abstract and invitation to submit a full
manuscript by: *December 31, 2025*
- Full manuscripts (3000–7000 words) for double blind peer review due
by: *April 15, 2026*
- Peer Review and notification of acceptance of full paper (pending
revisions): *June 30, 2026*
- Subsequent review of revisions: *July 30, 2026*
- All manuscript revisions completed by: *September 1, 2026*
Further details are available in the full call for proposals on the publisher’s
website.
<https://think.taylorandfrancis.com/special_issues/ai-implementation-in-library-metadata/>
Received on Fri Aug 15 2025 - 11:09:56 EDT