VuFind as a Participatory Scientific Information
Discovery, Access, Evaluation and Sharing Service
PhD Research grant by
October 15, 2012
University of Aveiro, Portugal Âť fsb@ua.pt
Villanova University's Falvey Memorial Library
Filipe MS Bento
VuFind Summit 2012
Discovery
powered by “the machine”
Discovery
powered by patrons
Impetus Library Systems that facilitate the discovery and sharing of information
Web 2.0: to be where our users are; Generate a dynamic of participation and shared production of contents.
Impetus Higher Education' Libraries and the Bologna Process
Reinforces the role of the Library as a complementary space for informal learning, socially facilitated by its users, enabling information discovery and sharing.
Core Concepts Information Integration :: Agregation and Federated search? Library 2.0 :: Active/Receptive buzzwords
Users 2.0 :: Participative users
Users 2.0
net generation (students)
Users 2.0
“digital immigrants�
Users 2.0
“enjoy the ride”
Library 2.0 / Users 2.0 making the thriving connection Jack Maness (2007)
“Library 2.0 is not about searching, but finding; not about access, but sharing.
Library
2.0
recognizes that human beings do not seek and utilize information as individuals, but as communities�
Collective Intelligence
“No one knows everything, everyone knows something...“ Pierre Lévy (1997)
Without…
Collective Intelligence
Puzzle solved!
Collective Intelligence
Folksonomies
Collective Intelligence
Folksonomies
Collective Intelligence
Folksonomies
What we are implementing using VuFind as the base system: An integrated and participatory service for search guidance, recommendation, evaluation and sharing. contributes “Search Find Evaluate (select) Understand Share” cycle
ideally
Initial survey Aimed at evaluating the information search and retrieval habits, which resources and sources do the University of Aveiro’s users value and their presence and information sharing habits in social networks. Online Survey, "invitation only":
• 26 questions, some conditional; • 2 months time span, 27th Jan – 23rd Mar 2010; • 4.228 full responses from about 14.500 possible;
Initial survey - Results Relevance given to information in blogs or shared by other users on social networks 100%
10%
13%
90% 80%
Irrelevant 19%
17% 26% 34%
18%
70%
32%
Little relevance 30%
38%
60%
41%
50% 40%
37%
Relevant 28%
20%
0%
No opinion
39%
35%
30%
10%
No answer
41%
31% 23%
14% 8% 4%
3%
5% 2%
16% 5% 1%
12%
14%
3% 1%
3% 1%
4% 5%
Very relevant Essential
Initial survey - Results Relevance given to features in the Results List 0%
10%
Automatic recommendation of documents or related resources
20%
40%
50%
31%
Faceted browsing (subjects, authors, year, etc.).
60%
14%
Subscription of updates (RSS feed of new records)
13%
80%
44%
6% 29%
38%
27%
26% 29%
35% 33%
4% 7% 16%
20%
Other features, including possible new ones Very Important
90% 100% 9% 2%
41%
10%
Receive notifications / SMS alerts (reserves, end of loan, etc.).
70%
52%
41%
List of tags placed by users to records in the results list
Interface for mobile phones / PDAs
30%
10% 3%
Important
No opinion
Not selected
Little relevance
Irrelevant
Initial survey - Results Relevance given to records contents’ enrichment via (external) Information aggregation 0%
10%
20%
Summary
60%
70%
80%
3%
44%
4%
46%
15%
12%
43%
12%
30%
39% 27%
12%
Export to other systems such as blogs, facebook, twitter,‌ 12%
90% 100%
39%
34%
Classification (keywords assigned to the document, tagging) Comments (from users)
50%
44%
Expert reviews
Rating (stars)
40%
51%
Table of Contents
Cover (books)
30%
5%
34% 45%
17%
43%
32%
32%
6% 3% 6%
31%
12%
Little relevance
Irrelevant
Other features, including possible new ones 0% 1% Very Important
Important
No opinion
Not selected
Initial survey - Results Relevance given to communities’ features 0%
Consult groups and associated users
20%
6%
Consult works or resources recommended by the group / users Access blogs, wikis, etc., from different groups
10%
30%
40%
50%
60%
45%
14%
7%
70%
80% 29%
55%
38%
33%
100% 6%
16%
Other features, including possible new ones Very Important
90%
3%
8%
1% Important
No opinion
Not selected
Little relevance
Irrelevant
Initial survey - Results Features in which they would take part / contribute 0%
10%
20%
30%
40%
27%
Rating (stars, for instance) of documents
22%
Comments
21%
30%
Follow users with common interests
19%
33%
Create new Communities or Groups Join Communities or Groups Recommend documents or share resources in Communities Collaborate in blogs, wikis or other collective resources of the ‌ Always, when relevant
70%
32%
35% 8%
60%
28%
Classification (assigning keywords to the document, tagging)
Consult documents or resources recommended by other users
50%
8%
26%
9%
31%
7% 9% 14%
31% 32%
27%
21% No opinion
33% Not selected
3%
26%
31%
22%
100%
27%
37%
17%
Sometimes
90%
39%
15%
13%
80%
Very occasionally
9% 8% 15% Never
Recommendations, Evaluation and Sharing within VuFind
Recommendations ‌ of related searches:
using Authorities / Thesaurus databases
Recommendations ‌ of related searches:
using external sources’ Authorities APIs
Recommendations ‌ of related searches:
linking to the same search in external services
Recommendations ‌ of related searches/resources:
from Course Reading lists
Recommendations ‌ of related searches/resources:
browsing public lists about a certain subject
Recommendations ‌ of related resources:
ideally
+ based on tags’ frequency, other resources with the same tags; + based on other accessed resources within the same search; + circulation data: based on loans history from patrons but should be limited to the same or related subjects; •better yet: users more active in that area (upon their express agreement).
Recommendations ‌ optimal – from a shared central index:
Discovery:
Evaluation … in the results’ list:
… from Google Books
Evaluation … in record’s full view:
… based on ratings given by other users
Evaluation ‌ in record’s full view:
... based on an enhanced
Google Preview
Evaluation … in record’s full view: contents
…based on information retrieved from goodreads
Evaluation … in record’s full view: Community tab
…based on the number of recommendations/shares and discussion within record’s facebook social plugin or any other external service plugin like DISQUS
Evaluation … EBSCO EIT module: Journal Ranking
…based on Scimago’s SJR : Scientific Journal Rankings
Sharing
Social bookmarking / Social Networks
Sharing
Social bookmarking / Social Networks
Sharing Pinterest
social discovery: online bookmarking + photo sharing + visual “to do� lists = Inspiration Boards
Sharing “Community” tab
… facebook is virtually the third country in the world:
4th Oct 2012 announcement: over a billion active users around the world
Sharing Be where users are and attract them to visit and add value to locally indexed resources Community
Rates/ comments Shares/ recommends
Rates/ comments
Shares/ recommends Rates/ comments
Shares/ recommends
Users may come and go, but the value they add accumulates
‌ and Now for Something Completely Different:
Presenting‌
SEARCH 4.0
Search 4.0
‌ a natural social dynamic amongst the four key elements: 1. user; 2. resources; 3. semantic mapping of metadata; 4. user’s communities (their peers, users with common interests)
Search 4.0
In full interaction enhanced by the system, these four elements generate a dynamic social network, self-sustainable and with guarantee of future preservation, a social network not only of human actors, but rather the resources themselves taking the role of actors.
Search 4.0
In fact, resources were always actors, having their own network. When an author cites others resources, expands their “social� network.
VuFind as a Participatory Scientific Information
Discovery, Access, Evaluation and Sharing Service
PhD Research grant by
Thank you!
Filipe MS Bento
Villanova University's Falvey Memorial Library
University of Aveiro, Portugal Âť fsb@ua.pt
VuFind Summit 2012