Overview and details of the sessions of this conference. Please select a date or room to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
|Date: Thursday, 11/Jun/2015|
|1:30pm - 3:00pm||FED2: Fedora Interest Group 2: Fedora 4 Adoption|
Session Chair: Stefano Cossu
Finding Your Inner Metadata
Amherst College, United States of America
The quality of metadata in a repository is one of the most significant factors affecting its usefulness. In some cases, however, the amount of structured metadata is so minimal to be of little practical value. This talk will discuss a project at Amherst College to archive over ten years of digital photographs in a Fedora4 repository, a collection representing nearly one million objects and over 20 TB of data. Because approximately 90% of the collection has little to no descriptive metadata, the project is also experimenting with a series of machine learning algorithms to find patterns in the images themselves -- patterns that will be used to enhance the metadata in an semi-automated fashion. This talk will also describe how we are making extensive use of the RDF-based data model provided by Fedora4 to partition different categories of metadata into distinct levels of trustworthiness.
A Fedora 4 Repository from the Ground Up at the University of Maryland
University of Maryland Libraries, United States of America
The digital collections repository of the University of Maryland Libraries celebrated its 10th anniversary in January 2015. While this homegrown system -- built on Fedora 2 and supported by two locally developed metadata schemas -- has served us well, after 10 years it is clearly showing its age. Over the years a combination of staff turnover and other, higher departmental priorities have conspired to prevent the upgrade to Fedora 3 from becoming a top priority. With the release of Fedora 4 this year, however, the stars seem to have aligned to give us the opportunity to re-envision our digital collections repository and make a fresh start with the new system.
In this presentation I will describe our ongoing efforts to design and implement a Fedora 4 based repository system in 2015. By the time of the conference in June, we will be roughly halfway through an initial year-long development process. The objectives of this project are: (1) to leverage the repository improvements of Fedora 4, (2) to migrate some existing services and applications to the new system, and (3) to develop new features that were unrealized in the development of the previous repository and its interfaces.
Islandora and Fedora 4; The Atonement.
1York University; 2discoverygarden; 3Islandora Foundation
In the context of repository platforms, Islandora has a fair bit of age, and with that a fair bit of cruft. In the early winter of 2014/2015 the Islandora community began working on a project plan to outline what would be needed in a version of Islandora that would work with of Fedora 4, and what resources would be needed to build it. This presentation will provide an overview of the project, as well as an in-depth technical overview and demonstration of the new functionality.
|3:30pm - 5:00pm||FED3A: Fedora Interest Group 3A: Islandora|
Session Chair: Nick Ruest
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.