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Goalbib+curationbib+facultyleverage external authoritiesleverage deeper graph via queries or patternsleverage usage datano cluster

use cases by cluster in priority groupings

top: 3, 11, 24, 35 |   | challenges: 18top: 6, 9top: 22, 23 | med: 19, 25, 28, 42 | challenges: 5, 21, 32 | low: 15top: 12, 38 | med: 29 | challenges: 14, 17, 41 | low: 39top: 1 | med: 16 | challenges: 10,26challenges: 30,31,33,34,37, 27 | low 2,4,7,8,13,40

pragmatic

3 (build virtual collection) 

22, 42

(Find unexpected resources through OPAC searches), (Topical intersections of related authors)

41 (Exploring the contemporary context of an historical source)16 (Be guided in collection building by usage) 

community added-value

35 (Finding selected or highlighted works)   1 (Research guided by community usage) 

cross-institutional data

3 (build virtual collection) 5, 22, 32 (Info-rich maps), (Find unexpected resources through OPAC searches)38 (Identifying related works)16 (Be guided in collection building by usage)31 (Compare course usage to holdings)
leverage existing external authorities  23, 19, 25, 42, 21, 15 (Pivot on works to explore more contexts), (Acquire related works), (Work-based discovery) (Topical intersections of related authors), (Intelligent term expansion)38 (Identifying related works) 8 (Be guided in collection building by usage)
leverage researcher networking data 6 (Highlight my faculty's work)23 (Pivot on works to explore more contexts)  7 (Find an expert)
leverage existing sources of LOD  22, 23, 42 (Info-rich maps), (Find unexpected resources through OPAC searches), (Topical intersections of related authors)38, 41 (Identifying related works), (Exploring the contemporary context of an historical source)  
integration out into the Web  22, 19 (Find unexpected resources through OPAC searches),(Acquire related works)   
cross-discipline      
help core missions   12, 14, 38 (Find associated works more relevant than Amazon does),(Create lists and learn from others' in my class), (Identifying related works)  
multi-data      
highlight unusual data  5 (Info-rich maps)12, 14 (Find associated works more relevant than Amazon does), (Be notified when new archival components are uncovered)1, 16 (Research guided by community usage),(Be guided in collection building by usage) 
media "photogenic"  22, 42 (Find unexpected resources through OPAC searches),(Topical intersections of related authors)12, 17, 41 (Find associated works more relevant than Amazon does), (   
interesting analysis or visualization11 (Build lists and make that metadata reusable)  38, 17 (Identifying related works),(Use NLP to explore the Library Graph)  
take advantage of usage data    

1, 16, 10, 26,

(Research guided by community usage),, (Be guided in collection building by usage),(Assess influence by community usage),(See usage faceted by funder)

 

 

Use Cases (suggestions, in draft form)

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