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.

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

• ISO 639-3 standard adds thousands of language codes, including dialects and lesser-known languages.
• Applies to 041 $a and language-based search and facets.
• Maintains compatibility with MARC21 for existing workflows.

Introduces new logic for handling linked record relationships, making the “Contains” relation more accurate in Alma and Primo.

• Accurate “Contains” logic for linked records

• Holdings shown only for relevant relationships

• Clear distinction between relation display and functional use in GetIt/ViewIt.

Libraries benefit from improved resource discovery and a better user experience. Related holdings are displayed only where appropriate, reducing confusion and ensuring location-based filtering works correctly.

• 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.

• 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.

• Allow customers to customize crosswalks for institutional needs.
• Validate changes with sample records before applying them.
• Automatic revert to default crosswalks if validation fails.

• Validation of BIBFRAME shapes using the DCTAP tool developed by the BIG (BIBFRAME Interoperability Group)
• Supporting Versions management for BIBFRAME works and instances
• Supporting adding manual URIs and Labels in lookup fields
• Enhancing navigation and actions available within the editor

• Support creating BIBFRAME records (works and instances) using the new BIBFRAME Editor in a Collaborative Network, including workflows between member institutions and the Network.
• Supporting Network Zone searches within the Work Search.
• Supporting internal lookups to Network Zones when cataloging a linked BIBFRAME record at an Institution Zone level.

• 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

• Users can describe the desired rule in plain English
• The AI generates an editable XSL code automatically
• The XSL rule can be tested using the MD Editor built-in testing feature

• Support adding permanent URIs to the UNIMARC records.
• Expansion of linked data enrichment into the UNIMARC cataloging workflow using authorities data.
• Configurable process that can be adapted to each institution's requierments.

• Provide the ability to search for RDA/RDF entities in the staff searches.
• These records will be available for use in Acquisitions and Fulfillment workflows.

• Support adding descriptive item-level information to a record, including custodial information, binding specific descriptions and notes.
• Mapping existing Alma item information into the BIBFRAME item structure

• Ability to use multi-value selection facets.
• Table and record views for search results.
• Enhanced navigation.