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Archipelago is an open source repository system developed and supported by the Metropolitan New York Library Council (METRO). Archipelago leverages Drupal’s core content management and custom Archipelago components, the Strawberryfield modules, to form a flexible and extensible digital repository system. All data, including metadata, for digital objects and collections is stored in JSON, and can be cast into different metadata schemas and displays depending on institutional and community needs. IIIF APIs and IIIF compliant viewer customizations are woven into Archipelago’s architecture and functionality. During this presentation, participants will engage in a brief general overview of Archipelago’s architecture and metadata setup. Participants will also see a selection of screenshots depicting the editing of a IIIF manifest using Archipelago’s Metadata Display Editing & Preview feature to source different metadata values (specifically an alternative LoD sources for Creator/Author information). This presentation will demonstrate how Archipelago can be used to develop IIIF manifest understanding and skills. Participants will be invited to interact with the same freely-accessible Archipelago instance and resources on their own following the presentation.
Archipelago, IIIF Manifests, OR2022
Archipelago, IIIF Manifests, OR2022
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 28 | |
| downloads | 32 |

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