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Bib + Curation

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Build a virtual collection

 

 

 

Use Cases (suggestions, in draft form)

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Cluster

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Demonstrates scholarly communities learning from one another across institutions

This divides up by subject; others are possible

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5.1 usage

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H5 C5 S0

+ value of non-traditional data

+ cross-lib
- no data 

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Heavily focused on the UI. How central should that be to the use cases.

How much should people be able to say about the collection itself and not just its items. Or info about the items but specific to the collection.

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H5 S5 C5

+ cross institution

+ pragmatic value

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Maps are a gnarly type. And how do we get the geolocated items? And this isn't very fresh. Is there a way to show relations among the pins? Or something? - dw May be possible to do autotagging by place names but may not be reliable, and are we tagging author origin, publisher, aboutness? jcr

Perhaps restrict their viewing to a geo location.

We'd need a gazetteer.

Nasty data

Not linked data base

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H4 C4 S0

If we have the data. (Harvard does.) Also, scale it back.

+ cross-instit.

+ unusual data
- no data? 

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requires a commitment to maintain information on departed faculty in other systems of record, or taking on that task in the library. jcr

we'd be ok with just current data

good one

integrates person data, so good

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S5 H4 C4

Not very dramatic and may already have been done, but worth supporting

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S5 H0

  -No data.

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Doesn't demonstrate linked data, and similar to a couple of others - dw

Population across the three institutions is big enough.

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S0 H3 This is an application of #1.

+ cross-institutional

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You'd have to log in. (Shelf.io does that)

A top priority for Stanford and something they want to get out of this grant

Privileged or not privileged? My personal list or public?

Great area to explore

A third party app might do this, with the three systems incorporating

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H4 S5

Lists are a subset of virtual collections (#3)

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S0 H5

+ Great for the media

+ Discovery tool

+ Shows use of new data

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S0 H4

+ Discovery

+ Unusual data

-- no data

-- SNAC

-- Data model??

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As it stands this use case doesn't seem to leverage our work. If the method by which one decided which "John Smith" you wanted used other information about the person, their works, their geography, etc. then it would seem to fit. Still seems a somewhat standalone tool though – sw

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3.4 leveraging authorities

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S5 H0

-Does not need our data

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S0 H4.5

+ useful

+ uses unusual data

(It's another use of #1)

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I would like to be able to ask questions about the relationships among library data using something like natural language (although I'd be happy to accept some common sense restrictions) and get back interesting results. For example,

"What books were written by Cornell biologists on topics that Harvard and Stanford biologists rarely write books about?"

"What books are available about communication technology that don't use 'Communication' in their title or subtitle?"

"Create a timeline of science books that charts them by how many of those books have illustrations."

"Find all the anthologies that have chapters by both Marshall McLuhan and Neil Postman."

"Create a table that shows how many genetics books were published in England per year versus how many were published in the United States."

"Find me books about Christian Fundamentalism read (or assigned) in Divinity schools in the 1990s but less so after 2000."

"Show me chronologically the usage in medical schools of books under the headings of both vaccination and autism."

"Map by publisher location the clustering of books about American slavery since 1640."

(Library Graph)

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(We could limit the NLP issue by creating a pick list of operations, relations, and outcomes. Or maybe there's an Open Source NLP library we could use. I dunno. - dw)

I think the NLP part of this is too much to bite off. I think it would be a reasonable goal for this project to use a structure query language to express and then answer these queries, I think the NLP part would be extremely cool but would need NLP expert collaborators – sw

Keep an eye out for an NLP person who might want to hook up an NLP front end to this, for a demo.

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S0 H5

+Great for the media

(Remember that these are use cases, not things we're saying we'll build. And we have the data – not the NLP – to do this. I.e., we should be aiming at enabling someone else to build this.)

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S5 H5 but only if it brings in outside sources

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I would like intelligent term expansion:

• based more on entities and relationships than on purely linguistic analysis
• that predictively disambiguate query strings (e.g., bank)

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This would rely on some of the ideas of authority control #15 – sw

OCLC Fast?

We could do this for authors etc. but how well by navigating the linked data we have?

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H4.5 S5

+cross-inst.

+external data LD

+pragmatic

+media

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S5 H5 depending on data implications

(Similar to #22)

+pragmatic

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aka LD-powered CuLLR for SearchWorks

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H5 S5

(Not sure what it implies for the data model)

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H4 S5

+ useful

(see #15)

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So I can uncover relationships and knowledge that were otherwise hidden.

Maybe do this more as a specific narrative?

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SPARQL-based OPAC + directory + circ reporting?

Important

Great if we can come up with some good UI, or subset UI that does interesting things. Is there an existing UI to drop on top of a SPARQL endpoint? We don't know of any.

Make this use case more specific? And we need some concrete examples.

Can we do inferencing?? Make that its own use case?

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S0 H0 This isn't a use case. These capabilties would support use cases, but these capabilities are what the project overall is about, aren't they?

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H0 S0

-no data

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I'd like to be able to query which library resources were used in courses (as noted by syllabi, reading lists or course reserves) and compare that to a collection's holdings. (This may be at my or another institution)

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more specific case of #8

combine with 8. drop 8

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H0 S0

-no data

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H4 S0

If we have the data

(cf. #14)

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What else do we have that is EAD-related?

#14 would also rely upon decomposition of EAD – sw

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H0 S0

-hard

-how different from a faculty profiler?

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H0 S0

-low utility

-part of faculty profiler? 

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H0 S0

-no data

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I like this one as it uses relatedness along different axes combined with type taxa and and entity – sw

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4.1 deeper graph

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H5 S0

+ external data

+ discovery

+ cross-inst.

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Where is the data linking publications to equipment or facilities? – sw

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H0 S0

-no data

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How do we infer dataset use where there is no citation? – sw

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H0 S0

-no data

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H5 S0

-useful

-external data

-media photogenic

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H5 S0

-useful

-external data

-media photogenic

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 

External Authorities

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

Usage

Research guided by community usage

Guided in collection building by usage