vufind as a participatory scientific information discovery, access, evaluation and sharing service

Filip

e M

S Be

nto

Uni

vers

ity o

f Ave

iro, P

ortu

gal

» fs

b@ua

.pt

PhD

Rese

arch

gra

nt b

y

VuFind as a Participatory Scientific Information Discovery, Access, Evaluation and Sharing Service

VuFind Summit 2012

Villanova University's Falvey Memorial Library October 15, 2012

powered by “the machine”

Discovery

powered by patrons

Discovery

Systems that facilitate the

discovery and sharing of

information

Impetus

Web 2.0: to be where our users are;

Generate a dynamic of participation and

shared production of contents.

Library

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.

buzzwords

Core Concepts

Information Integration:: Agregation and Federated search?

Library 2.0:: Active/Receptive

Users 2.0:: Participative users

net generation (students)

Users 2.0

“digital immigrants”

Users 2.0

“enjoy the ride”

Users 2.0

Jack Maness (2007)

“Library 2.0 is not about

searching, but finding;

not about access, but

sharing. Library 2.0

recognizes that human

making the thriving connectionLibrary 2.0 / Users 2.0

beings do not seek and utilize information as individuals, but as communities”

Collective Intelligence

Without…“No one knows everything, everyone knows something...“ Pierre Lévy (1997)

Puzzle solved!


Folksonomies


What we are implementing using VuFind as the base system:

An integrated and participatory service for search guidance, recommendation, evaluation and sharing.

“Search Find Evaluate (select) Understand Share” cycle

contributes

ideally

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

Relevance given to information in blogsor shared by other users on social networks

Initial survey - Results

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

4% 3% 2% 1% 1% 1% 5%

14%8%

5% 5% 3% 3%4%

35%

28%

23%16%

12% 14%

31%

18%

38%

41%

41%

37% 39%

30%

10% 13%19%

26%34% 32%

17%

Irrelevant

Little relevance

No answer

No opinion

Relevant

Very relevant

Essential

Initial survey - ResultsRelevance given to features in the Results List

31%

41%

14%

13%

10%

29%

52%

44%

41%

38%

26%

33%

9%

6%

29%

27%

35%

20%

2%

4%

7%

16%

10%

3%

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

Automatic recommendation of documents or related resources

Faceted browsing (subjects, authors, year, etc.).

List of tags placed by users to records in the results list

Subscription of updates (RSS feed of new records)

Interface for mobile phones / PDAs

Receive notifications / SMS alerts (reserves, end of loan, etc.).

Other features, including possible new ones

Very Important Important No opinion Not selected Little relevance Irrelevant

51%

44%

34%

15%

12%

27%

12%

12%

0%

39%

44%

46%

43%

39%

45%

43%

32%

1%

3%

4%

12%

30%

34%

17%

32%

31%

5%

6%

3%

6%

12%

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

Summary

Table of Contents

Expert reviews

Cover (books)

Rating (stars)

Classification (keywords assigned to the document, tagging)

Comments (from users)

Export to other systems such as blogs, facebook, twitter,…



Initial survey - ResultsRelevance given to records contents’ enrichment via (external) Information aggregation

Initial survey - ResultsRelevance given to communities’ features

6%

14%

7%

45%

55%

38%

29%

16%

33%

6%

3%

8%

1%

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

Consult groups and associated users

Consult works or resources recommended by the group / users

Access blogs, wikis, etc., from different groups



27%

22%

21%

19%

35%

8%

17%

22%

13%

28%

32%

30%

33%

39%

15%

31%

32%

21%

27%

26%

31%

14%

37%

31%

27%

33%

8%

9%

7%

9%

3%

26%

9%

8%

15%

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

Rating (stars, for instance) of documents

Classif ication (assigning keywords to the document, tagging)

Comments

Follow users with common interests

Consult documents or resources recommended by other users

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 Sometimes No opinion Not selected Very occasionally Never

Initial survey - ResultsFeatures in which they would take part / contribute

Recommendations, Evaluation and Sharing within VuFind

using Authorities / Thesaurus databases

… of related searches:Recommendations

using external sources’ Authorities APIs


linking to the same search in external services


from Course Reading lists

… of related searches/resources:Recommendations

browsing public lists about a certain subject

Recommendations… of related searches/resources:

Recommendations… of related resources:

+ 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).

ideally

Recommendations… optimal – from a shared central index:

Discovery:

… from Google Books

Evaluation… in the results’ list:

… 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:

…based on information retrieved from goodreads

Evaluation… in record’s full view: contents

…based on the number of recommendations/shares and discussion within record’s facebook social plugin

or any other external service plugin like DISQUS

Evaluation… in record’s full view: Community tab

…based on Scimago’s SJR : Scientific Journal Rankings

Evaluation… EBSCO EIT module: Journal Ranking

Social bookmarking / Social Networks

Sharing

social discovery: online bookmarking + photo sharing + visual “to do” lists = Inspiration Boards

SharingPinterest

… facebook is virtually the third country in the world:4th Oct 2012 announcement: over a billion active users around the world

Sharing“Community” tab

Users may come and go, but the value they add accumulates

SharingBe where users are and attract them to visit and add value to locally indexed resources

Shares/recommends

Shares/recommends

Rates/comments

Rates/comments Shares/

recommendsRates/comments

Community

… 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.

Filip

e M

S Be

nto

Uni

vers

ity o

f Ave

iro, P

ortu

gal

» fs

b@ua

.pt

PhD

Rese

arch

gra

nt b

y

VuFind as a Participatory Scientific Information Discovery, Access, Evaluation and Sharing Service

VuFind Summit 2012

Villanova University's Falvey Memorial Library Thank you!

vufind as a participatory scientific information discovery, access, evaluation and sharing service

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