Published online by Cambridge University Press: 03 October 2019
What challenges does metadata managers face when embarking on a Linked Data transformation? How can legacy projects be better understood to ensure such data remodels stay true to their original content? Current efforts made by the Getty Provenance Index elucidate how this task can be much more than simple data re-structuring, and how much manual and specialized labor goes into updating a 35 year old database.
1. Provenance Index Databases (Getty Research Institute), accessed May 21, 2019, http://www.getty.edu/research/tools/provenance/search.html.
2. Provenance Collaborators (Getty Research Institute), accessed May 23, 2019, http://www.getty.edu/research/tools/provenance/collaborators/index.html.
3. Provenance Index Remodel (Getty Research Institute), accessed May 21, 2019, http://www.getty.edu/research/tools/provenance/provenance_remodel/index.html.
4. Books published by the GPI are discoverable in the Getty Research Institute's online library catalog. See https://library.getty.edu for access.
5. Linked Art, accessed May 21, 2019, https://linked.art/.
6. CIDOC-CRM, accessed May 21, 2019, http://www.cidoc-crm.org/.
7. “Style of (attribution Qualifier),”, accessed May 21, 2019, http://vocab.getty.edu/aat/300404285.
8. “Manner of (attribution Qualifier).”, accessed May 21, 2019, http://vocab.getty.edu/aat/300404288.