Building linked open data web applications from the outside in — lessons learned from building the Getty’s Research Collections Viewer
Adam Brin, J. Paul Getty Trust, USA, Gregg Garcia, J. Paul Getty Trust, USA, Ben O'Steen, J. Paul Getty Trust, United States, Charles Webb, J. Paul Getty Trust, USA, Pam Lam, J. Paul Getty Trust, USA, Selina Chang-Yi Zawacki, J. Paul Getty Trust, USA, USA
AbstractGetty recently launched the Research Collection Viewer (RCV), a new interface for using the Getty’s archival collections using linked open data and the Linked.art data model. We outline some of the challenges and the potential of linked open data for this application as well as the necessary architecture. We selected a microservice architecture for RCV and built the core application APIs using the Linked.art model. This choice impacted the design of our backend infrastructure which extracted and transformed data from ArchivesSpace, Rosetta, and Arches. The frontend was similarly impacted by both the architecture and the state of modern web development. RCV highlights some of the issues and possibilities of what can be developed.
Keywords: Linked Open Data, LinkedArt, IIIF, Archives
- ArchivesSpace – which contains the metadata about the archives including its structure and descriptive information.
- Rosetta – which contains the technical metadata about the digital files stored in the archive.
- Arches – which contains additional metadata about the items in Rosetta.
Brin, Adam, Garcia, Gregg, O'Steen, Ben, Webb, Charles, Lam, Pam and Zawacki, Selina Chang-Yi. "Building linked open data web applications from the outside in — lessons learned from building the Getty’s Research Collections Viewer." MW21: MW 2021. Published January 15, 2021. Consulted .