What makes a good use case?
- which of them is really linked data enabled, vs. what you could do with MARC if put in a big database
- what can be done easily with linked data, even if it could be done without
- examples tying library data together with other information
- and working across institutions
What intersections of our data sources will be strong enough to support compelling use cases?
We need to choose a key set of use cases that address the challenges articulated in the grant proposal for the project. Here are some specific points that we want to make sure that the use cases address:
- Pragmatic value. They have real value to our core constituencies: librarians, researchers, teachers, students, etc.
Community added-value. They leverage the unique value that librarians and scholars add to materials when they select, annotate, or reference the resources.
- Cross-institutional data. They clearly demonstrate the value in combining data from our three different institutions - ideally in a way that shows how that value will grow as more institutions join in.
- Leverage existing data and services. They leverage existing efforts in this space
- Integration into the Web. They show how research libraries can integrate with existing popular and useful Web sites and services, e.g., Wikipedia.
- Cross-discipline. They show examples from a variety of disciplines.
- Help core missions. They demonstrate value for teaching and learning, and research.
- Multi-data. They cover a broad range of scholarly information resource types.
- Unusual data. They show how non-traditional data can be useful.
- Media "photogenic": They clarify to the mainstream media the value of LOD and this project, and excite that media about the prospects
- They show interesting ways to use the aggregated data for analysis or visualization.
- They take advantage of data on how the materials are being used.
We need to be careful to not put in effort in areas where other projects are already working.
Bib + Curation
Build a virtual collection
Build Lists that make metadata reusable
Tag items in cross-silo ways
Finding selected or highlighted works
Bib + Person
Highlight faculty's work
Identify who an author influenced
Find unexpected resources through OPAC searches
Pivot on works to explore more contexts
Acquire related works
Work based discovery
Form fill for IR deposit
Topic intersection of related authors
Deeper Graph Interactions
Find associated works better than Amazon
Identify related works
Increase the sophistication of query and display
Research guided by community usage
Guided in collection building by usage