Digitizing Conservation: Developing data models for preservation data
Abstract/Contents
- Abstract
- Conservation documentation plays a crucial role in preventing misrepresentations about cultural property. Yet conservation records often remain undigitized and unsearchable. As part of efforts to improve access to conservation documentation, members of the Linked Conservation Data Consortium recently embarked on a project to transform paper and born-digital conservation records spanning forty years into linked data. Project team members reviewed existing models for preservation data and found that only the CIDOC Conceptual Reference Model would accommodate documentation of materiality, object structure, and conservation treatment events as prescribed by professional guidelines. Project outcomes revealed meaningful patterns in conservation data that may be useful in future model development as well as shortcomings in the XML technologies employed for transforming the data.
Description
| Type of resource | text |
|---|---|
| Date created | June 18, 2021 |
| Publication date | May 10, 2023; January 1, 2022 |
Creators/Contributors
| Author | Lieu, Ryan |
https://orcid.org/0000-0002-9069-862X
(unverified)
|
|---|
Subjects
| Subject | Conservation and restoration |
|---|---|
| Subject | Documentation |
| Subject | XML (Document markup language) |
| Subject | Linked data |
| Genre | Text |
| Genre | Article |
Bibliographic information
Access conditions
- Use and reproduction
- User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
- License
- This work is licensed under a Creative Commons Attribution 4.0 International license (CC BY).
Preferred citation
- Preferred citation
- Ryan Lieu, "Digitizing Conservation: Developing data models for preservation data" in Proc. IS&T Archiving 2021, 2021, pp 28 - 32, https://doi.org/10.2352/issn.2168-3204.2021.1.0.7
Collection
Stanford Libraries staff presentations, publications, and research
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- Contact
- ryanlieu@stanford.edu
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