It’s my pleasure to share the news that Cory Lown and Nick Budak are joining the staff of Digital Library Systems and Services as Digital Library Software Developers on the Access and Discovery Team. Cory and Nick’s first day will be October 4, and they will be working alongside Chris Beer, Gary Geisler, and Camille Villa, as well as our other colleagues across DLSS and Stanford Libraries.
Blog topic: Blacklight
On February 8, 9, and 10th 2021, 175 people from across the globe met for the 6th annual Geo4LibCamp. This time the conference was hosted online using the Zoom platform. Previous Geo4LibCamps have been hosted on Stanford University's campus at the Hartley Conference Center and in the David Rumsey Map Center. This year's online event broke prevoius attendence records of the event that brings together those building repository and associated services for geospatial data to share best practices, solve common problems, and address technical issues.
Are you curious about ArcLight and how it can integrate with ArchivesSpace and other systems? Learn more from the video below! Mark Matienzo and Gregory Wiedeman (University at Albany) present on ArcLight and ArchivesSpace as part of the Integrations with ArchivesSpace webinar series on May 12, 2020. Mark's presentation provides background on ArcLight, its community-oriented development, its features, and the importance of integrations, and Greg's presentation focuses on how University at Albany integrated ArcLight with ArchivesSpace, Hyrax, and Quicksearch to build University at Albany's archives discovery system.
Last week, contributors from five institutions – Stanford University, Duke University, Indiana University, University of Michigan, and Princeton University – kicked off a collaborative nine-week work cycle for ArcLight. The work cycle, which runs from August 13 to October 11, 2019, will build on the ArcLight MVP implementation from 2017, and focuses on refining ArcLight’s usability and accessibility, addressing strategic needs in a community-based project. Major areas for this work cycle include:
- Usability and accessibility refinements, including potential design changes
- Revamping the tools used for indexing archival description into ArcLight’s Solr index
- Analysis and implementation supporting better integration with request management systems, digital object viewers, and more
You can follow our work on the #arclight channel on the Code4Lib Slack team or the GitHub project board for the current work cycle. We expect to release public demo videos on YouTube, and will share them on Slack as well as the arclight-community Google Group to report on our progress. The work cycle’s conclusion coincides with the 2019 Blacklight Summit, to be held in Durham, North Carolina from October 9-11.
Stanford Libraries is organizing a work cycle later this year for ArcLight, a Rails engine supporting discovery of archival material. The work cycle is expected to run from August 12 to October 11, 2019, with planned contributions in terms of staff and development time from Stanford University, University of Michigan, Indiana University, and Princeton University. This work expands upon the work undertaken between April to June 2017 to develop a minimum viable product, and focuses on adding features, fixing bugs, and ensuring it is better suited as a product for future adoption and development.
As a part of planning for this work cycle, Stanford, Michigan, Indiana, and Princeton have begun developing a collaborative roadmap to help us scope candidate areas of development. Following the process undertaken recently by the Spotlight community, we are now looking for contributions to and feedback on the roadmap to inform our work. If you’ve previously shared evaluations of ArcLight internal to your organization, we welcome you incorporating your ideas for features and improvements to this document. Our first deadline for contributions to the ArcLight work cycle roadmap is June 28, 2019.
The ArcLight MVP project team has completed our eight-week work cycle to develop a minimum viable product to support discovery and delivery of archival materials using Blacklight, and have released ArcLight 0.1. More details, including a demo video and list of implemented features, follow below. The code for ArcLight, as well as documentation on how to get started can be found on GitHub.
Spotlight on Service-Learning: New online exhibit explores fifty years of service-learning’s history and evolution in higher education
The following is a guest post by Seth Pollack (Director, Service Learning Institute, California State University, Monterey Bay) and Tim Stanton (Senior Engaged Scholar, Ravensong Associates; Director Emeritus, Bing Overseas Studies Program, Cape Town, Stanford University).
Here at the Stanford Libraries, we are a big fan of Who’s on First. While the comedy routine by Abbott and Costello is pretty good, here we are talking about the gazetteer project Who’s on First created by the team at Mapzen. The Who’s on First (WoF) gazetteer is a “big list of places” comprising one of the largest and richest compilations of Open and permissively licensed geospatial data.