Industry Pack · Heritage Conservation
Heritage Conservation
Turn physical memory into digital heritage that can be preserved, researched, and experienced.
Heritage collections combine objects, documents, photographs, audio, film, and interviews, each with its own rights and context. Digitization has to serve preservation and research at the same time as public experience. That means an inventory and survey of monuments and objects, photo and 3D capture, standardized metadata in a register, and controlled public access built on a traceable record.
VISIONAn expansion priority guided by a long-term vision: heritage data prepared for preservation, research, education, and digital experience. Each collection starts with its own schema, rights rules, and acceptance criteria.
What digitization means here
Digitization in heritage conservation
Heritage digitization records monuments, objects, and documents through survey, photography, 3D models, and descriptive records, so that conservation, research, and public presentation rest on the same reliable dataset.
What we would build
Inventory and survey
A list of monuments and objects with identifiers, location, condition, and level of protection.
Photo capture and 3D models
High-resolution photo sets and 3D models for items that need monitoring or restoration.
Metadata records and register
A digital register with a shared schema, linked to people, places, times, and source documents.
Controlled public access
A public lookup page for information cleared for release, with rules for copyright and sensitive locations.
Stages of work
Inventory
Build a list of monuments and objects from existing records and field survey.
- Inventory list
- Identifier table
Capture and model
Photograph, scan in 3D, and record condition following the agreed technical guide.
- Original photo sets
- 3D models by item
Write the records
Enter metadata, link source documents, and reconcile the different names of the same monument.
- Standard descriptive records
- Source link table
Controlled release
Decide what is public, accept on a sample, and open the lookup page.
- Access rules
- Heritage lookup page
Deliverables
- A digital register of monuments and objects
- Photo sets and 3D models
- Standard metadata with sources
- A controlled public lookup page
Inputs
Typical input data
Photographs, documents, books, and maps
Visual, textual, and cartographic material from a collection.
Objects and object records
Physical items together with the records that describe them.
Audio, film, and interview material
Recorded sound, moving image, and oral history.
Museum and collection data
Catalog and collection data held by museums and archives.
Challenges
Hard problems we solve
Object identification and multi-source linking
The same object can appear in several sources under different names.
Multilingual metadata
Descriptions must work across languages and naming conventions.
Copyright and access rights
Rights vary by item and shape what can be published or reused.
Digitization quality and long-term preservation
Capture quality and preservation formats must hold up over time.
People, place, time, and event links
Objects gain meaning when linked to people, places, times, and events.
Outputs
Target outputs
Digital records for objects and material
A digital record for each object or item.
Standardized metadata
Metadata aligned to the agreed schema.
Relationships between objects and sources
Links between objects, collections, and sources.
Search, API, and data for digital experience
Search and API access for digital experience and AI use.
Provenance and version trail
A traceable record of origin and versions.
Register and public access
From inventory to a public register
Inventory and survey
A list of monuments and objects with identifiers, location, condition, and level of protection.
3D and photo capture
High-resolution photo sets and 3D models for items that need monitoring or restoration.
Metadata and register
A digital register with one schema, linked to people, places, times, and source documents.
Browse the public register demo
A public lookup of a sample register, showing what controlled public access looks like.
Value
Where the value lives
When heritage data is structured well, it becomes the foundation for digital museums, research, education, tourism, and cultural AI.
How to start
Start with one representative dataset
Select a representative dataset, then lock the schema, business rules, critical fields, missing and conflicting-source rules, and acceptance criteria. Run a benchmark before scaling production.
Related