Surfacing the Academic Long Tail (SALT)Presentation Transcript
SALT Surfacing the Academic Long Tail Joy Palmer, Mimas #jiscsalt email@example.com
Hypothesis…Library circulation activity data can be used to support humanities research by surfacing underused ‘long tail’ library materials through search
And also… how sustainable would an API-based national shared service be?Can such a service support users and also library workflows such as collections management?RLUK, M25, Leeds University, Cambridge University, Sussex University.
Mimas delivers several key JISC national library & bibliographic services Copac Archives Hub Zetoc Journals Usage Stats Portal
--Aggregation of 50+ research & specialist libraries--50 million records +--1 million search sessions per month--Primary use case – locating long tail materials
--John Rylands University Library: --1.3 million bib records--600,000 search sessions per month--23% of records unique (cross checked against WorldCat)--40,000 students10 years of circulation data
Why aren’t we there yet?
Building on JISC MOSAIC (a.k.a: going for the low hanging fruit)
Different use case (simpler)
Means barriers over extracting right data are lower
Lessens concerns over data privacy
Better odds for buy-in?
In our contexts we need to articulate user demand benefits value sustainability Where’s the BUSINESS CASE?
arts & humanities researchers borrow books…
market research reveals these users as… Centrifugal searchers ‘Berry-pickers’ from various trails Quite isolated and prone to pit-falls
And increasingly they just don’t ask librarians…They ask their tutors and each other where to look…
Researchers are suspicious about UGC, especially ratings & reviews, but…. they could see the immediate benefit of‘tacit’ recommender functions….
What if? this represented a national aggregation of data gathered from the usage activity of these researchers, collected as they worked with a national aggregation of unique or rare research collections?
In humanities research it’s all the way
What can this mean? Surfacing and increasing usage of hidden collections ( & demonstrating value) Providing new routes to discovery based on use and disciplinary contexts (not traditional classification). Powering ‘centrifugal searching’ and discovery through serendipity Enabling new, original research – academic excellence…
Next steps… Implement in JRUL OPAC Test hypothesis with academic users Share lessons & consider possible next steps with additional contributors Collect feedback from collections managers – useful for collections development & assessment? Analyse issues for sustainability
Target academic researchers looking for long tail items
Examine relationship between relevance and frequency of borrowing
Does frequency of borrowing correlate to increased relevancy?
How should it look?
Relation between key critical texts at the nose And the other stuff here
Can we make the data work harder to solve other shared problems?
Issues for sustainability Is there a clear-cut case for a national shared service here? Data model: data out = easy data in = not so much Licensing & Attribution: collective ownership of a collective pot? Is proof of our hypothesis key to sustainability?