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FED3A: Fedora Interest Group 3A: Islandora
Islandora Foundation and the Terrific Twos: An Islandora Community Update
1Islandora Foundation, Canada; 2University of Prince Edward Island
Two years have passed since the formation of the Islandora Foundation was announced at Open Repositories 2013. Since that time, the project has welcomed more than a dozen supporting institutions, hosted Islandora Camps all over the world, and completed two fully community-driven software releases with dozens of new modules built and contributed by the Islandora community.
The Islandora project has made the journey from a grant-funded project incubated in a University library, to a vibrant and global community facilitated by a non-profit that exists only by symbiosis with the community it serves. This presentation will provide a general overview of that journey and the current status of the Islandora project and community.
Developing Open Oral Histories in Islandora
1University of Toronto; 2Pinedrop
The Islandora Oral Histories Solution Packingests, transcribes, and annotates audio and video files (with all separate elements being permissible and available to other Islandora modules). It was developed to address the increasing demand to make recorded oral histories web-accessible, searchable, SEO-Friendly and more engaging. The increase in the volume of audio and video recordings being produced require appropriate stewardship to ensure long-term preservation and easy public access. Scholars and researchers also want the ability to choose different areas on those recordings to produce multi-faceted content and metadata such as annotation, transcription, publication, and to associate oral histories with other repository content including (but not limited to) documents, other media files, citations, and images.
The module supports HTML5 video, including built-in closed caption/subtitles and interactive transcript/annotation display. The module reflects our research and understanding of existing tools, open standards, and best practices for audio/video annotation.
The Learning in Neural Circuits Research Environment: Managing Living Specimens and Laboratory Data in Islandora
University of Toronto
Learning In Neural Circuits (LINC) is a new repository and virtual research environment for the department of biological sciences research cluster at the University of Toronto Scarborough Campus. The system serves the Blake Richards neuroscience research lab, which is comprised of early career researchers (ECRs) who would benefit from training and practices in research data management. The repository is designed to institute best practices for research data management with this audience in mind as well as foster new insights by replacing traditional paper and spreadsheet based systems with a more complex relational metadata system and robust Solr index.
LINC is the locus of development for a new Islandora Living Research Lab Solution Pack developed in UTSC Library’s Digital Scholarship Unit (DSU). The code is currently available on the DSU github, with the hope that the module can be contributed to the Islandora project in 2016. The solution pack
Digital Scholarship Unit
primary use case is to a record living specimen and to reveal the related experimental data associated with that specimen.