"Building an Islandora Data Repository Using an External DDN Storage Infrastructure" (Hutchens)
The University of Wyoming Libraries have partnered with UW's Advanced Research Computing Center (ARCC) to provide a campus research data repository. Coupling the Libraries' experience with Islandora and Fedora along with ARCC's expertise in high performance computing and storage, we successfully launched the UW Data Repository in September 2016. We now offer all campus researchers single sign-on authentication for dataset and metadata submission, simultaneous DOI assignment and DataCite metadata deposit via the EZID API, as well as unlimited file size storage capacity (something not achievable using Islandora version 7 alone). Using an "endowment" business model to fund storage costs, we have made this service free to all campus users who wish to share their data. Like all solutions, we've encountered numerous problems along the way, our implementation has its drawbacks, and we certainly have more work to do.
"Leveraging IR Collections as Distributed Service Layers" (Benedict, Wheeler)
Consideration of the research impact and organizational value of institutional repositories (IR) highlights the utility of defining and evolving innovative IR service models. As a particular example, the integration of OAI-PMH utilities and custom application programming interfaces (API) within widely adopted IR platforms including Digital Commons and DSpace enable repository managers to develop and promote unique services around IR as content stores for external research systems. In this project briefing, librarians from the University of New Mexico will describe the development of a spatially enabled discovery service that interacts dynamically with a Digital Commons-hosted collection of documents pertaining to Native American Water Rights Settlements (NAWRS). By extending Digital Commons' OAI-PMH metadata schema to incorporate point and polygon representations of the areas referenced within NAWRS documents, librarians were able to build transparent, dynamic linkages between the IR and the externally hosted spatial discovery portal. The resulting service adds value to both endpoints. This project briefing will include a description of the metadata enrichment and OAI-PMH harvest workflows, together with an overview of how the harvested metadata and documents are incorporated within the discovery portal architecture to best leverage the complementary capabilities of Elasticsearch, AngularJS, and the OpenLayers web mapping framework.
