This document discusses creating compelling user interfaces for digital collections. It notes that competition for attention means numbers are not enough and that content, infrastructure, and access are important. The document recommends putting text into a search system like Solr and images into a server like IIIF. It provides examples of features like autocomplete, faceted search, timelines and geospatial search. Different viewers like Mirador are shown to allow customized experiences. New interfaces for interpretation and gaming are suggested. The conclusion emphasizes engaging users to create impact beyond just putting data online.
8. The Good News
This is easy to do, given some prerequisites:
1) Put your text content into a modern search system
(Solr, Elastic Search…)
2) Put you image content into a dynamic server
(IIPImage, Loris, Djatoka...)*
* ideally IIIF-compatible!
32. IIIF viewers
Different viewers allow different audiences to experience the same content in
different ways
Universal Viewer
Mirador
Internet Archive Book Reader
Compare viewers at http://labs.cogapp.com/iiif/
33. New interfaces for interpretation
Boschproject.org
Visible
Infrared
Infrared
reflectography
36. Conclusion
It’s not enough to put your data online
You must engage your users to create lasting impact
Searchable content and flexible images are a springboard for
compelling interfaces
I’d love to hear from you: tristanr@cogapp.com
Graphic by 1000memories, referenced by http://petapixel.com/2011/09/16/the-relative-sizes-of-the-worlds-largest-photo-libraries/
Second point controversial at an aggregator’s conference!
Simon Tanner, Digital Humanities, Kings College London Presentation at http://www.slideshare.net/KDCS/mirror-signal-manoeuvre-how-understanding-context-indicators-and-strategic-direction-can-make-an-impact-not-a-car-crash
Question asked by Simon Tanner.
Results from an audience poll at DCDC conference 2015. Overwhelming majority (rightly) consider access the most importantSea change in way to view collections and archives. Not belittling the challenges of the first two, but it’s all too easy to focus on these two at the expense of the last one.
Impact as in: what will happen as a result of your content. How can users extract information from data?
Show you some examples for Cogapp and other organisations
Example search from the Yiddish Book Center (created by Cogapp, 2015) http://www.yiddishbookcenter.org/
Content lives in different repositories, but appears seamlessly to users
Because autocomplete is based on the text corpus indexed by your search engine, so can happen for free: no extra classification necessary!
This relies on extra classification. Numbers after categories give a user an indication of what to expect before they click
Example from Qatar Digital Library (Created by Cogapp, 2013) http://www.qdl.qa/ Also surface the selected facets prominently so that a) users know what filters are applied and b) they can easily remove them if required.