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| 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: 01 | 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 |
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