What makes a good use case?
Implementation Question:
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:
Community added-value. They leverage the unique value that librarians and scholars add to materials when they select, annotate, or reference the resources.
We need to be careful to not put in effort in areas where other projects are already working.
The purpose of this table is to group use cases into 5 clusters (columns) to help identify a small set of exemplar implementable use cases that can be the focus of engineering work. Good candidates to exemplar or to be merged to form an exemplar are marked "top".
Goal | bib+curation | bib+person data | leverage external authorities | leverage deeper graph via queries or patterns | leverage usage data | no cluster |
---|---|---|---|---|---|---|
use cases by cluster in priority groupings | top: 3, 11, 24, 35 | | challenges: 18 | top: 6, 9 | top: 22, 23 | med: 19, 25, 28, 42 | challenges: 5, 21, 32 | low: 15 | top: 12, 38 | med: 29 | challenges: 14, 17, 41 | low: 39 | top: 1 | med: 16 | challenges: 10,26 | challenges: 30,31,33,34,37, 27 | low 2,4,7,8,13,40 |
pragmatic | 3 | 22, 42 | 41 | 16 | ||
community added-value | 35 | 1 | ||||
cross-institutional data | 3 | 5, 22, 32 | 38 | 16 | 31 | |
leverage existing external authorities | 23, 19, 25, 42, 21, 15 | 38 | 8 | |||
leverage researcher networking data | 6 | 23 | 7 | |||
leverage existing sources of LOD | 22, 23, 42 | 38, 41 | ||||
integration out into the Web | 22, 19 | |||||
cross-discipline | ||||||
help core missions | 12, 14, 38 | |||||
multi-data | ||||||
highlight unusual data | 5 | 12, 14 | 1, 16 | |||
media "photogenic" | 22, 42 | 12, 17, 41 | ||||
interesting analysis or visualization | 11 | 38, 17 | ||||
take advantage of usage data | 1, 16, 10, 26 |
Build a virtual collection
Build Lists that make metadata reusable
Tag items in cross-silo ways
Finding selected or highlighted works
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
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