:: Please consult the notes on each slide for more info. Thanks! :: Never in scientific community history, it has been so extensive, never published as much as today, never the knowledge life cycle was so short. New data, new interpretations, new theories and new members emerge every day; not always is clear how to construct a search strategy that proves to be effective and efficient, so to obtain relevant and significant information. In this context VuFind may find its way as a pioneering service aiming to aggregate significant sets of resources and services that until now were dispersed, powering them with innovative features, some of them a mashup made of data obtained in real-time from external services, but more than that, to promote the logic cooperation of users of such resources, whom can take advantage of comments from those have used then before, but also can add value and see the local indexed resources’ social network. This communication exposes some core concepts and solutions that might help achieve a "Search 4.0" paradigm, that not only relies not only on direct search, but rather discovery, access, recommendation, that already performs with distinction, but also resources sharing and collaborative features, resulting from a natural social dynamic amongst the four key elements – user, resources, semantic mapping of metadata and user’s communities (their peers, users with common interests). 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 as of resources themselves taking the role of actors.
VuFind as a Participatory Scientific Information Discovery, Access, Evaluation and Sharing Service
1. University of Aveiro, Portugal » fsb@ua.pt
VuFind Summit 2012
Filipe MS Bento
PhD Research grant by
Villanova University's Falvey Memorial Library October 15, 2012
VuFind as a Participatory Scientific Information
Discovery, Access, Evaluation and Sharing Service
4. Impetus
Library
Systems that
facilitate the Web 2.0: to be
where our users are;
discovery and
sharing of Generate a dynamic
information of participation and
shared production of
contents.
5. 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.
6. Core Concepts
Information Integration
:: Agregation and Federated search?
Library 2.0
:: Active/Receptive
buzzwords Users 2.0
:: Participative users
10. 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”
16. 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” cicle
ideally
Oriented to “ad-hoc” communities construction / identification
Results should also show patrons or communities that are more active in that area
17. 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;
18. Initial survey - Results
Relevance given to information in blogs
or shared by other users on social networks
100% Irrelevant
10% 13%
19% 17%
90% 26%
34% 32%
80%
18% Little
relevance
70% 38% 30%
No answer
41%
60%
41%
50% 37% 39% No opinion
40%
35%
Relevant
30%
28% 31%
20% 23% Very
16%
14% 12% 14% relevant
10% 8% 4%
5% 5% 3% 3% 5%
4% 3% 2% 1% 1% 1% Essential
0%
19. Initial survey - Results
Relevance given to features in the Results List
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
Automatic recommendation of documents or related
31% 52% 9% 2%
resources
Faceted browsing (subjects, authors, year, etc.). 41% 44% 6%
List of tags placed by users to records in the results list 14% 41% 29% 4%
Subscription of updates (RSS feed of new records) 13% 38% 27% 7%
Interface for mobile phones / PDAs 10% 26% 35% 16%
Receive notifications / SMS alerts (reserves, end of loan,
29% 33% 20% 10%
etc.).
Other features, including possible new ones 3%
Very Important Important No opinion Not selected Little relevance Irrelevant
20. Initial survey - Results
Relevance given to records contents’
enrichment via (external) Information aggregation
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
Summary 51% 39% 3%
Table of Contents 44% 44% 4%
Expert reviews 34% 46% 12%
Cover (books) 15% 43% 30% 5%
Rating (stars) 12% 39% 34% 6%
Classification (keywords assigned to the document, tagging) 27% 45% 17% 3%
Comments (from users) 12% 43% 32% 6%
Export to other systems such as blogs, facebook, twitter,… 12% 32% 31% 12%
Other features, including possible new ones 0%
1%
Very Important Important No opinion Not selected Little relevance Irrelevant
21. Initial survey - Results
Relevance given to communities’ features
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
Consult groups and associated users 6% 45% 29% 6%
Consult works or resources recommended by the group /
14% 55% 16% 3%
users
Access blogs, wikis, etc., from different groups 7% 38% 33% 8%
Other features, including possible new ones 1%
Very Important Important No opinion Not selected Little relevance Irrelevant
22. Initial survey - Results
Features in which they would take part / contribute
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
Rating (stars, for instance) of documents 27% 28% 27% 8%
Classification (assigning keywords to the document, tagging) 22% 32% 26% 9%
Comments 21% 30% 31% 7%
Follow users with common interests 19% 33% 9%
Consult documents or resources recommended by other users 35% 39% 14% 3%
Create new Communities or Groups 8% 15% 37% 26%
Join Communities or Groups 17% 31% 31% 9%
Recommend documents or share resources in Communities 22% 32% 27% 8%
Collaborate in blogs, wikis or other collective resources of the … 13% 21% 33% 15%
Always, when relevant Sometimes No opinion Not selected Very occasionally Never
28. Recommendations
… of related searches/resources:
browsing public lists about a certain subject
29. 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).
32. Evaluation
… in record’s full view:
… based on ratings given by other users
33. Evaluation
… in record’s full view:
... based
on an
enhanced
Google
Preview
34. Evaluation
… in record’s full view: contents
…based on information retrieved from goodreads
35. 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
36. Evaluation
… EBSCO EIT module: Journal Ranking
…based on Scimago’s SJR : Scientific Journal Rankings
40. Sharing
“Community” tab
… facebook is virtually the third country in the world:
4th Oct 2012 announcement: over a billion active users around the world
41. Sharing
Be where users are and attract them to visit and add value to locally indexed resources
Community
Rates/
comments
Rates/
Shares/ Shares/ Shares/
comments
recommends recommends recommends
Rates/
comments
Users may come and go, but the value they add accumulates
44. 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)
45. 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.
46. Search 4.0
In fact, resources
were always
actors, having
their own
network. When
an author cites
others resources,
expands their “social” network.
47. VuFind Summit 2012
University of Aveiro, Portugal » fsb@ua.pt
Filipe MS Bento
PhD Research grant by
Villanova University's Falvey Memorial Library Thank you!
VuFind as a Participatory Scientific Information
Discovery, Access, Evaluation and Sharing Service
Editor's Notes
------------------Note:the conceptual modeland data presented in thispresentationispartof a broaderongoingstudy, “InformationIntegration, UserParticipationand Communities in Information Discovery”, PhD Program in Information and Communication in Digital Platforms (University of Aveiro and University of Porto, Portugal)“; part of this presentation is of shared authorship with the author advisor,underthementionedPhDProgram, Lidia Oliveira Silva (CETAC.media / CommunicationandArtDepartment, U.Aveiro).------------------Firstof all, a special thanks to Demian, David and Villanova University's Falvey Memorial Library, in the person of its Director, Joseph/Joe Lucia, for having me here today and making available such a great solution as VuFind proved to be.
Butfirstof all, a quickwordabouttheImpetusforimplementing a discovery and sharing service: - Beside thestrong bet in web 2.0 tools and services, being done in the last years, to be where our users are;- We aim at generating a dynamic of participation and shared production of contents.
Also at na Europeanlevel, theBologna Processreinforces the role of the Library as a complementary space for informal learning, socially facilitated by its users, enabling information discovery and sharing.
Havingthatsaid, implementingsuch a Serviceinvolvesmainly 3 Core Concepts.
Another aspect, that is still somehow not a full explored ground, involves making the thriving connection between Library 2.0 and Users 2.0Andfor this, I quote Jack Maness:“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”.And this brings us to something that VuFind already in part leverages: Collective IntelligenceMANESS, JACK M. - Library 2.0 Theory: Web 2.0 and Its Implications for Libraries. Webology. ISSN 1735-188X. Vol. 3, n.º 2 (2007).Picture source: http://www.undertheradarblog.com/wp-content/uploads/2012/01/social-enterprise21.jpg
A model for an innovative bibliographic information search system, where not only the document is the point of reference, but to a new extent, the user himself and all its surrounding (activities and information associated with his/her profile or community to which he/she belongs), assuming a crucial dimension of generating additional information by the users of the system (enhanced by computer agents aggregators of information), fostering social networks and communities.Namely to get it’s contributes to the “Search Find Evaluate (select) Understand Share” cicle.Oriented to “ad-hoc” communities construction / identificationResults should also show patrons or communities that are more active in that areaideallyStarting point, an Initial survey:
We wanted to have an idea about the University of Aveiro’s users’information search and retrieval habits, which resourcesand sourcesdo theyvalueand their presenceand informationsharinghabitsin social networks.We where very pleased with the importance given by the UA community to this project that lead us to have 4.228 full responses from about 14 and a half thousand possible ones.
Recommendations, Evaluation and Sharing within VuFindSo, lets start with Recommendations (Discovery component):