This is the state of the Linked Data for Libraries (LD4L) page as it existed during the transition from LD4L to LD4L-Labs.
This page will be deleted when the transition is complete, but it is temporarily here to make sure nothing gets lost.
Welcome to the project wiki-space for the Linked Data for Libraries (LD4L) project. We are currently in the process of transitioning from the original LD4L project (2014-2016) to work on a new Mellon-funded LD4L Labs project, focused on helping libraries use linked data to improve the exchange and understanding of information about scholarly resources. The LD4L Labs project team aims to have tools, services and solutions available that research libraries could use at their own institutions within the next three to five years. Here is the press release announcing the LD4L Labs project. We'll be restructuring this wiki space with new information about LD4L Labs over the next few weeks.
The LD4L project (2014-2016) is a collaboration of the Cornell University Library, the Harvard Library Innovation Lab, and the Stanford University Libraries, and is funded by a nearly $1 million two-year grant from the Andrew W. Mellon Foundation.
The goal of the project is to create a Scholarly Resource Semantic Information Store (SRSIS) model that works both within individual institutions and through a coordinated, extensible network of Linked Open Data to capture the intellectual value that librarians and other domain experts and scholars add to information resources when they describe, annotate, organize, select, and use those resources, together with the social value evident from patterns of usage.
Our intent is to do so using existing ontologies and Open Source technology.
- LD4L Project Proposal (2014-2016):
- Project Timeline
- LD4L Workshop Overview
- Agenda (February 2015)
- Project Team
- LD4L Technical Outputs
- Communications and Outreach (LD4L-2014) (Press releases, Presentations, Social media, Blog Posts, etc.)
- Related Projects
- LD4L Working Groups
- Workshop Planning
- LD4L Use Cases
- Possible Data Sources
- First Team Meeting
- LD4L code repository on github