I don't know of anywhere to point you, but I am very interested in 
collaborating on building this. We've been doing a lot of retooling on our 
digital library site, so I'm really eager to talk usage and best practices.

Athina Livanos-Propst
Editorial Services, Manager & Digital Librarian | PBS Education
O: 703-739-5485 | [email protected]

________________________________________
From: Code for Libraries [[email protected]] on behalf of Andrew L 
Hickner [[email protected]]
Sent: Thursday, January 03, 2019 11:41 AM
To: [email protected]
Subject: Re: [CODE4LIB] Usability and A/B test results clearinghouse

Dear Joshua,

I have thought about this for years. I would be very much interested in 
collaborating on such an effort.



Andy Hickner, MSI
Health Sciences Librarian
Seton Hall University | Interprofessional Health Sciences Campus
[email protected] | 1-973-542-6973
https://urldefense.proofpoint.com/v2/url?u=http-3A__library.shu.edu_ihs&d=DwIGaQ&c=QX2OfGk7aRC3kh1nmtbeQQ&r=RXIBTdlDWSmqO0o3MLQ-BLQUZFYg5gjAQISlzYkkw98&m=s09gNq6CWgPmWM0G4i-2w9gqzjlHuD3EGBdkvVLWpK0&s=bjx9zj6-hqWUssZOl4OvUim0ASUscmsduJ51Lpkw86Y&e=

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-----Original Message-----
From: Code for Libraries <[email protected]> On Behalf Of Gomez, Joshua
Sent: Thursday, January 3, 2019 11:32 AM
To: [email protected]
Subject: [CODE4LIB] Usability and A/B test results clearinghouse

I am wondering if there exists some kind of clearinghouse of data from 
usability tests and A/B tests on digital libraries and archives. Or, if such a 
thing does not exist, if members from this community would be interested in 
building one with me.

I’m sure many results have been published in papers in various journals or blog 
posts. But what I had in mind was an accumulation of many such results into a 
central place, so that it would be possible to quickly lookup and answer 
questions like “which facets/filters are used most or least?” or “which layouts 
of complex objects result in more images/bitstreams being viewed/streamed?” and 
so on. The general goal is to build up an evidence-based set of design patterns 
for digital library interfaces.

I already have strong opinions about some of these questions, but I would like 
data to back them up before acting on them. For instance, I think the 
consistent use of author and subject fields in faceted search is an 
antipattern. Any field with more than a few dozen possible terms seems unusable 
(to me) in faceted search. I think it would be much better to use type-ahead 
search for data in these fields and use facets/filters only on simpler fields 
like date, language, or resource type. But these are just opinions and I would 
like some proof.

I could run my own tests locally, and I intend to, but I would feel more 
confident if I saw consistent results from multiple institutions. And I don’t 
think I need to convince anyone subscribing to this list about the merits of 
working collaboratively and sharing knowledge.

So if you know of something like this, please point me to it. Or if you are 
interested in putting something like this together, please get in touch.

Joshua Gomez
Head of Software Development & Library Systems UCLA Library 
[email protected]<mailto:[email protected]>

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