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We need to be careful to not put in effort in areas where other projects are already working.
Clustering use cases
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 |
Bib + Curation
Build a virtual collection
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