Reduce the time and effort a cataloger spends on creating or enriching bibliographic records.

Date indexes in the repository search, including the physical and electronic inventory searches, will support  searching by relative date.

• Ability to search by number of days before current date.
• Ability to search by number of days after current date.

The user will be able to perform searches and save logical sets such as "Received X days ago", "Available X days ago", etc.

• Manual job to enrich a set of records using copy-cataloging.

• AI title matching for resources that can't be matched using identifiers.

• Easily review and approve / reject copy-cataloging suggestions.

Reduce the time and effort a cataloger spends on  copy-cataloging to enrich bibliographic records.

• Support for more Community Zone authority vocabularies - early access.

• Work with our global community to responsibly widen the AI Metadata Assistant capabilities to support more subject authorities.

Reduce the time and effort a cataloger spends on creating or enriching bibliographic records.

Administrators will be able to create custom bibliographic search indexes in Staff Search for any MARC fields to address the institution’s needs.

For example, create a text-based search index based on metadata from MARC field 306.

Allow the option to create custom search indexes for any MARC fields.

Empower the library to better search and manage its metadata by allowing the creation of customized search indexes. These tailored indexes will enable more precise and efficient searches, giving the library greater control over how its data is organized and accessed, and allowing it to align the search functionality with its specific needs and priorities.

Libraries will be able to classify continuing resources with enhanced granularity, distinguishing between Magazines, Blogs, Repositories, Newsletters, and Directories through automated classification to address specific collection needs.

• Enhanced resource type classification with more granular categories.
• Support for format and publication status tracking.

Improves resource organization, discovery, and collection management through more precise classification options.

Catalogers will be able to copy multiple MARC fields from view-only records or paste MARC-formatted data from external sources into the Metadata Editor, with automatic field creation.

• Enable selection and copying of multiple fields from read-only records across all workflows.

• Provide a paste function in the Metadata Editor to parse and create MARC fields from external MARC data.

Enable catalogers to quickly transfer multiple MARC fields from both internal read-only records and external sources, streamlining workflows and reducing manual effort. This enhancement increases accuracy and efficiency, empowering catalogers to manage metadata more effectively and focus on higher-value tasks.

• The library will be able to create brief records for uncataloged resources

• The library will be able to choose whether AI generated brief records will be created as suppressed, to be reviewed by catalogers before becoming visible to patrons in discovery

An AI-powered assistant embedded in the Alma Metadata Editor that allows users to generate XSL normalization rules using natural language input.

• Users can describe the desired rule in plain English

• The AI generates editable XSL code automatically

• The XSl rule can be tested using the MD Editor built-in testing feature

Makes XSL rule creation accessible to non-technical staff, saves time, reduces errors, and encourages broader participation in metadata configuration. Improves efficiency and modernizes cataloging workflows.