This will be a half-day, hands-on workshop covering data modeling primarily in RDF. We hope to bring a diverse group of Hydra community members together to learn, discuss, and build out examples that will inform Hydra community best practices for data modeling. This modeling work will be taught in the context of helping Hydra and Fedora development, metadata, and interoperability efforts. We will discuss how model uses a number of standards, and demo the different ways to represent models. We will compare and contract data modeling with metadata standards/profiles. We will walk through modeling efforts around PCDM and its place in our work and community - this workshop will not focus on PCDM alone (this is not a PCDM or RDF workshop). We want this workshop to bring together, develop and engage a larger corps of data modelers in the Hydrasphere. and A workshop delivered at Hydra Connect 2016, described thus
Keyword:
Resource Description Framework (RDF), Connect 2016, Hydra, Portland Common Data Model (PCDM), Metadata, and Workshop
Subject:
Hydra Project
Creator:
Matienzo, Mark, Harlow, Christina, Johnson, Tom, and Hardesty, Juliet L
A workshop delivered at Hydra Connect 2016, described thus, increasing familiarity with PCDM, contributing back to PCDM from the activities of the participants, and increasing participants’ familiarly and comfort with data models more broadly., and The Portland Common Data Model (PCDM) is a flexible shared, linked data-based domain model for representing complex digital objects. This workshop will review PCDM, its history, technical overview, recent developments, and Hydra-specific implementation considerations. The workshop will also include an interactive modeling session where users will employ use cases from their repositories (or provided samples) to model in PCDM. The goals of the workshop include
Keyword:
Connect 2016, Workshop, Portland Common Data Model (PCDM), and Hydra
//wiki.duraspace.org/display/hydra/Applied+Linked+Data+Working+Group, https, A workshop delivered at Hydra Connect 2016, described thus, and This workshop is all about techniques to use linked data within your Hydra based application. For example, autocomplete fields from a controlled vocabulary are nice... but what if you wanted to give more context to what users are selecting via things like alternative labels and broader / narrower concepts? How do you cache triples locally? How do do you publish your own controlled vocabulary for others to use? And what is the best way to make your RDF data harvestable by others? This workshop is based on work done by the Applied Linked Data working group
For the past few years I've been distributing a survey to gauge usage of Sufia (and, this year, CurationConcerns) and to get a sense of what direction the community wants the components to go in. I'd like to report back to you all on what the latest data says, and share a rough roadmap for 2016-2017. A video of this session is available at the 'Related URL' below. and A lightning talk presentation at Hydra Connect 2016, described thus
Update on the recent work to implement standards-based import/export functionality for Fedora 4, working on importing and exporting Bags for migrating between Fedora repositories, and backing up to and restoring from preservation services such as APTrust, Archivematica, etc. and A lightning talk presentation at Hydra Connect 2016, described thus
Keyword:
Fedora, Connect 2016, Hydra, Import/export, and Lightning talk
The Boston Public Library has long been a Fedora 3 Commons system and we are heavily invested in that backend. After waiting to see how Fedora 4 Commons develops and with some recent internal debate, our "next gen" repository solution is going in a different direction. This will be a (perhaps) controversial talk as to why and how we came to this conclusion. A video of this session is available at the 'Related URL' below. and A lightning talk presentation at Hydra Connect 2016, described thus
A lightning talk presentation at Hydra Connect 2016, described thus and Hydra applications can interact with a number of backing services (Fedora, Solr, Redis, job runners, etc). Using Docker to run these services locally can potentially simplify the development environment and reduce on-boarding time. A video of this session is available at the 'Related URL' below.