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Azure Blob Storage - ArchivesSpace Integration and Automation

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Common Integration Use Cases Between Azure Blob Storage and ArchivesSpace

Azure Blob Storage is well suited for scalable file storage, secure distribution, and long-term retention of large digital assets. ArchivesSpace is an archival collection management system used by libraries, museums, universities, and cultural institutions to describe, organize, and provide access to archival materials. Together, they can support efficient digital preservation, access, and archival operations.

1. Store and deliver digitized archival assets from ArchivesSpace to Azure Blob Storage

Data flow: ArchivesSpace to Azure Blob Storage

When archival staff digitize photographs, manuscripts, audio, or video, ArchivesSpace can maintain the descriptive metadata while Azure Blob Storage holds the actual digital files. This separation keeps ArchivesSpace focused on archival description and allows large files to be stored and distributed efficiently.

  • Preserves high volume media files outside the archival catalog
  • Improves performance in ArchivesSpace by avoiding large file storage overhead
  • Supports secure access to digital surrogates for researchers and staff

2. Link archival finding aids in ArchivesSpace to files stored in Azure Blob Storage

Data flow: Azure Blob Storage to ArchivesSpace

ArchivesSpace records can include stable links to digitized materials stored in Azure Blob Storage. This enables archivists to publish finding aids with direct access to related documents, images, and media without duplicating files inside the archival system.

  • Provides researchers with direct access to supporting digital content
  • Reduces storage duplication across systems
  • Allows controlled publishing of public and restricted materials

3. Automated ingest of digitization outputs into archival workflows

Data flow: Azure Blob Storage to ArchivesSpace

Digitization teams can upload scanned files, OCR outputs, and media derivatives into Azure Blob Storage, where an automated process validates filenames, checksums, and folder structure before creating or updating corresponding records in ArchivesSpace. This improves consistency and reduces manual cataloging effort.

  • Speeds up processing of large digitization projects
  • Reduces metadata entry errors
  • Supports repeatable workflows for archives, special collections, and records teams

4. Preservation package staging for archival transfer and review

Data flow: Bi-directional

Azure Blob Storage can act as a staging area for preservation packages before they are formally described or accessioned in ArchivesSpace. Archivists can review files, apply quality checks, and then update ArchivesSpace with accession details, arrangement notes, and access restrictions.

  • Supports accessioning of born-digital and digitized content
  • Creates a controlled review process before archival description is finalized
  • Improves collaboration between digitization, preservation, and reference teams

5. Public access delivery for selected archival collections

Data flow: ArchivesSpace to Azure Blob Storage

ArchivesSpace can be used to manage collection descriptions while Azure Blob Storage serves public-facing digital objects for approved collections. This is useful for exhibitions, online exhibits, and open-access collections where files need reliable, scalable delivery.

  • Enables web delivery of archival images, PDFs, and media at scale
  • Supports seasonal or event-based public access initiatives
  • Allows institutions to separate public content from restricted holdings

6. Backup and disaster recovery for archival digital assets

Data flow: ArchivesSpace to Azure Blob Storage

Archival institutions can use Azure Blob Storage as a backup target for exported ArchivesSpace data, attached digital objects, and related preservation files. This helps protect against data loss and supports recovery planning for critical archival records.

  • Provides offsite redundancy for archival digital assets
  • Supports retention and recovery policies
  • Reduces operational risk for long-term collections management

7. Batch export of archival metadata for reporting and downstream systems

Data flow: ArchivesSpace to Azure Blob Storage

ArchivesSpace metadata exports can be written to Azure Blob Storage for use by reporting tools, digital repositories, discovery platforms, or analytics teams. This gives stakeholders a centralized location for scheduled exports and downstream processing.

  • Improves access to archival metadata for other business systems
  • Supports scheduled reporting and collection audits
  • Enables integration with search, analytics, and publishing workflows

These integrations help institutions manage archival descriptions in ArchivesSpace while using Azure Blob Storage for scalable file storage, secure access, and operational resilience.

How to integrate and automate Azure Blob Storage with ArchivesSpace using OneTeg?