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In this presentation we will show some of the general purpose repository tooling used to manage repository data for the Language Data Commons of Australia and the Australian Text Analytics Platform. We have a standards-based repository stack which is used to make research data available for human and machine-use. The main part of the stack is "Oni" https://github.com/Arkisto-Platform/oni which builds an access-controlled REST API from an Oxford Common File Layout (OCFL) data store (which consists of data objects which are saved as files-on-disk or in object storage), with data objects are described using the RO-Crate metadata standard. Data is indexed into a postgres-driven API for low-level access, and a full discovery index implemented in ElasticSearch, with the ability to create access portals in your web framework of choice. We will demonstrate rapid creation of large scale repositories using batch tooling, as well as using a metadata entry tool known as Describo to produce RO-Crate linked-data descriptions.
RO-Crate, OCFL, Linked-data, OR2023, Repository Technology
RO-Crate, OCFL, Linked-data, OR2023, Repository Technology
| 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 | 15 | |
| downloads | 15 |

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