Google Sheets - ArchivesSpace Integration and Automation

Common Integration Use Cases Between Google Sheets and ArchivesSpace

1. Accession and collection inventory staging from Google Sheets to ArchivesSpace

Archives teams often use Google Sheets to compile accession lists, box inventories, and preliminary collection descriptions before formal cataloging. An integration can move validated rows from Google Sheets into ArchivesSpace as new accession records, resource records, or container lists. This reduces manual rekeying, speeds up backlog processing, and gives archivists a collaborative workspace for reviewing data before it becomes part of the official archival system.

2. Bulk metadata cleanup and normalization from ArchivesSpace to Google Sheets

ArchivesSpace data can be exported into Google Sheets for large-scale cleanup of names, dates, subject terms, and container labels. Staff can use Sheets formulas, filters, and shared review workflows to standardize values, identify duplicates, and correct inconsistencies. After review, the cleaned data can be pushed back into ArchivesSpace, improving metadata quality while allowing multiple stakeholders to work efficiently without direct system editing.

3. Finding aid review and editorial approval workflow

Finding aid drafts or component descriptions can be extracted from ArchivesSpace into Google Sheets for editorial review by archivists, subject specialists, and communications staff. Reviewers can add comments, track required changes, and mark approval status in the spreadsheet. Once approved, the updated content can be synchronized back to ArchivesSpace, helping teams manage controlled publishing workflows and reduce version confusion.

4. Authority control and name reconciliation

ArchivesSpace authority records for people, families, organizations, and subjects can be exported to Google Sheets for reconciliation against internal reference lists or external authority sources. Staff can compare variants, flag preferred forms, and document matching decisions in a shared spreadsheet. The approved authority updates can then be imported into ArchivesSpace to improve consistency across collections and support better discovery.

5. Collection backlog triage and prioritization

When archives teams manage large backlogs, Google Sheets can serve as a planning layer for prioritizing processing work. Records from ArchivesSpace can be exported into Sheets with fields such as collection size, donor restrictions, processing status, and research demand. Managers can rank priorities, assign work, and track progress in the spreadsheet, then update ArchivesSpace with revised status fields so the system reflects current operational plans.

6. Digitization project tracking linked to archival descriptions

ArchivesSpace records can be paired with digitization planning data in Google Sheets, including item selection, scanning status, file delivery dates, and quality control results. Project teams can manage the operational workflow in Sheets while maintaining the authoritative archival description in ArchivesSpace. This integration helps coordinate archivists, digitization vendors, and metadata staff, ensuring that digital surrogates are tied to the correct collection records.

7. Reporting and management dashboards for archival operations

ArchivesSpace data can be exported on a scheduled basis into Google Sheets to support lightweight reporting and dashboard creation. Leaders can track metrics such as number of processed collections, open accessions, description completion rates, and backlog volume. This gives departments a flexible way to monitor performance without requiring custom reporting development inside ArchivesSpace.

8. Cross-team request intake and data validation

Business users, donors, or internal departments can submit archival information requests through Google Sheets templates that capture required fields in a structured format. Archives staff can validate the entries, correct formatting issues, and then load the approved data into ArchivesSpace. This approach is useful for intake of donor information, collection transfer details, or project requests, creating a controlled handoff from informal data collection to the archival repository.