Location
Room B
Presentation Type
Short Concurrent Session
Start Date
29-4-2022 1:30 PM
Description
In March 2020, Harvard Library launched a fast-tracking deposit program into DASH, the university’s institutional repository, in order to facilitate the rapid release of Harvard’s COVID-19 research. Over the course of the fast-tracking program, papers related to COVID-19 have seen over 400,000 downloads, with one paper having registered over 21,000 readers during its first four days in DASH. As part of the program, we also began linking research outputs together with their underlying datasets by collaborating with Harvard’s Dataverse. It soon became clear that crosslinking the metadata records is a valuable service opportunity regardless of the research topic or any fast-tracking programs, and so we began brainstorming ways to scale the crosslinking service using Linked Data Notifications. Enhancing discovery in this way doesn’t simply save users’ time. We also hope to encourage deeper exploration of the open-access scholarly resources Harvard researchers have made available to the public—and in such a way that is manageable for repository staff. In addition, we are building this feature with the global scholarly community in mind, choosing standard protocols over the bespoke, so that anyone can use our code to make similar enhancements to their own repositories. In this presentation, we will review our approach to crosslinking metadata records across repositories using Linked Data Notifications and will discuss our progress so far.
Facilitating Crosslinking Services in an Institutional Repository
Room B
In March 2020, Harvard Library launched a fast-tracking deposit program into DASH, the university’s institutional repository, in order to facilitate the rapid release of Harvard’s COVID-19 research. Over the course of the fast-tracking program, papers related to COVID-19 have seen over 400,000 downloads, with one paper having registered over 21,000 readers during its first four days in DASH. As part of the program, we also began linking research outputs together with their underlying datasets by collaborating with Harvard’s Dataverse. It soon became clear that crosslinking the metadata records is a valuable service opportunity regardless of the research topic or any fast-tracking programs, and so we began brainstorming ways to scale the crosslinking service using Linked Data Notifications. Enhancing discovery in this way doesn’t simply save users’ time. We also hope to encourage deeper exploration of the open-access scholarly resources Harvard researchers have made available to the public—and in such a way that is manageable for repository staff. In addition, we are building this feature with the global scholarly community in mind, choosing standard protocols over the bespoke, so that anyone can use our code to make similar enhancements to their own repositories. In this presentation, we will review our approach to crosslinking metadata records across repositories using Linked Data Notifications and will discuss our progress so far.
Comments
This work is licensed under CC BY 4.0
