Loci - ArchivesSpace Integration and Automation

Common Integration Use Cases Between Loci and ArchivesSpace

Below are practical integration scenarios that combine Loci?s AI-driven content recommendation capabilities with ArchivesSpace?s archival collection management and discovery workflows.

1. Personalized archival discovery on public research portals

Data flow: ArchivesSpace ? Loci ? researcher-facing website or CMS

ArchivesSpace can expose collection metadata, finding aids, subject terms, and digital object references to Loci, which then analyzes user behavior and content relationships to recommend relevant archival materials. This improves discovery for researchers, students, and casual visitors by surfacing related collections, creators, and topics based on browsing patterns.

• Increases engagement with archival collections
• Reduces time spent searching across large repositories
• Improves access to underused or hidden collections

2. Contextual recommendations for collection pages and finding aids

Data flow: ArchivesSpace ? Loci ? CMS or web front end

When a user views a specific collection or finding aid in ArchivesSpace-powered content, Loci can recommend related collections, digitized items, or thematic exhibits. For example, a user viewing a civil rights collection could be shown related oral histories, photographs, or organizational records.

• Supports deeper exploration of archival holdings
• Improves session duration and page depth
• Helps archivists promote related content without manual curation

3. Audience segmentation for targeted archival outreach

Data flow: Loci ? ArchivesSpace or connected CRM and marketing tools

Loci can analyze user interaction patterns to identify audience interests such as genealogy, local history, institutional records, or specific time periods. Those insights can be fed into outreach workflows so archivists can promote relevant collections, exhibits, or digitization updates to specific user groups.

• Enables more relevant newsletters and announcements
• Improves campaign performance for archival programs
• Supports audience development and donor engagement

4. Recommendation-driven digitization prioritization

Data flow: Loci ? ArchivesSpace

By analyzing which archival topics, creators, or collection types generate the most user interest, Loci can help archives teams identify high-demand materials that should be prioritized for digitization, description enhancement, or preservation review. This creates a data-informed approach to collection development and access planning.

• Aligns digitization efforts with demonstrated demand
• Improves return on preservation and access investments
• Supports evidence-based collection strategy

5. Enhanced internal staff research and reference support

Data flow: ArchivesSpace ? Loci ? internal staff portal

Archivists, reference staff, and curators can use Loci to surface related collections, similar subjects, and previously accessed materials while working in or alongside ArchivesSpace. This helps staff respond faster to research requests, identify cross-collection connections, and prepare exhibits or instructional materials more efficiently.

• Speeds up reference and research workflows
• Improves consistency in staff-assisted discovery
• Supports exhibit planning and instructional content creation

6. Automated related-content suggestions for digital exhibits

Data flow: ArchivesSpace ? Loci ? exhibit CMS

For digital exhibits built from archival content, Loci can recommend related items, collections, or contextual materials based on exhibit themes and visitor behavior. This allows curators to keep exhibits dynamic and relevant without manually maintaining every related-content link.

• Strengthens exhibit storytelling
• Encourages visitors to explore beyond a single exhibit page
• Reduces manual content maintenance for web teams

7. Usage analytics to improve archival metadata and description

Data flow: Loci ? ArchivesSpace

Loci?s behavioral insights can reveal which search terms, topics, or collection pages attract attention but fail to convert into deeper engagement. Archivists can use this information to improve metadata, add missing subject terms, refine abstracts, or create new access points in ArchivesSpace.

• Improves findability of archival materials
• Identifies metadata gaps and user search intent
• Supports continuous improvement of archival description

In summary, Loci adds intelligence to ArchivesSpace by turning archival metadata and user behavior into actionable recommendations, while ArchivesSpace provides the authoritative collection data that makes those recommendations meaningful. Together, they improve discovery, engagement, and operational decision-making across archival and digital content teams.