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Snapshot
A leading US-based research institution partnered with us to extract, organize, and standardize 61,000 historical records drawn from scanned manuscripts, bibliographic entries, and archival files, preparing validated datasets for integration into their digital repository.
Structured Data at Scale
Explore how our process reshaped 61,000 fragmented historical records into structured, searchable, repository-ready data.
Challenge
Source materials existed across multiple formats, were largely unstructured, and contained inconsistent or incomplete metadata. This fragmentation made digital access and research integration difficult and limited the usability of the collection.
Turning Point
Our data conversion and transformation team implemented a structured extraction and normalization workflow tailored to archival content.
We extracted key data fields from unorganized documents, applied metadata normalization and controlled vocabularies, and validated records for consistency across the entire collection.
Impact
• 61,000 curated records delivered with historical materials extracted and structured across multiple formats (scanned manuscripts, bibliographic data, archival files)
• Metadata normalized and standardized across all records
• Validated datasets delivered, ready for integration into the institution’s digital repository
• Improved searchability and discoverability through structured, consistently tagged data
By transforming fragmented historical materials into standardized and searchable datasets, the institution now enables easier discovery and access for researchers.
Let's Talk
Need to convert fragmented archival materials into clean, searchable datasets?
Get in touch to explore our data conversion and transformation solutions.