Transcript Innovatie in OCLC verband

Contactdag 2013
Innovatie in OCLC verband
Titia van der Werf
Senior Program Officer, OCLC Research
31 oktober, 2013
OCLC Contactdag 2013 – Jaarbeurs Utrecht
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data
innovations
analytics
FutureCast
preservation
health check
Wikidata
user
behaviour
born digital
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OCLC Research Library Partnership
US &
Canada
(Americas)
119/78%
AsiaPacific
7/4%
Europe &
Middle East (EMEA)
27/18%
FutureCast
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Metadata management
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Listening to the voice of the illuminati
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Top of Mind (25)
High
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Special & Archival
Collections
Data Management
Shared Print
Management
Staff realignment,
development
Research Support
Space Usage
Medium
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Partnerships
Collaboration
Community
Engagement
Digital Humanities
Distinctive Services
Born Digital
Collection Analysis
Shared Services
Social Media
Technology
Infrastructure
Low
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Area Studies
Collaborative
Collection
Development
Curriculum
Integration
Digital Aggregations
Digital Selection
Discovery Layer
E-resources
Embedded Librarians
Metadata
Management
User Studies
50
Top of Mind
Special and Archival Collections
45
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MENTIONS
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Data Management
25
Shared Print
Staff Realignment and development
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Research Support Services
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Space
10
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Michalko for OCLC Research. 2013.
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RANK
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20
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OCLC Research work agenda
Mobilizing Unique Materials
Partnership driven
Describe, disclose, discover, deliver effectively
Advancing the Research Mission
How can libraries have maximum impact in providing support to
academic departments ?
The System-wide Library
Cooperative models of acquiring, managing and disclosing
collections
Metadata Management
Adapt metadata management to economic realities, user
expectations and the requirements of network-level services
User Behavior
How to better serve library users' needs now and in the future
Infrastructure and Standards
Help develop and adopt new architectures and standards
Strategy driven
Strategic areas
discovery
happens
elsewhere
syndication
OCLC
chief strategist
making
data
work harder
user
behaviour
inside-out
outside-in
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WorldCat growth since 1998
making
data
work harder
Millions of records
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250
236
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139
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108
86
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0
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1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
As of 27 April 2012
Aggregating data
data
innovations
In aggregations:
• data lose their local context
• data get lost in the bigger context
Making sense of data at the aggregate level:
• FRBR
• GLIMIR
• VIAF
• FAST
• Mining for entities/names
Applying techniques & algorithms to other datasets
FRBR Entity Levels (2002)
Work
Expression
Original Text
Translation
Critical
Edition
Paper
PDF
Manifestation
Item
The movie
The novel
Copy 1
Autographed
Copy 2
Based on a graphic in Tillett, Barbara: http://www.iccu.sbn.it/upload/documenti/Tillett.ppt
Original
Version
HTML
FRBRisation of WorldCat: 2006 - now
Genres
Translations
Manifestations
Reproductions
FRBRisation of WorldCat: 2006 - now
Genres
Translations
Manifestations
Reproductions
GLIMIR:
Clustering
records which
differ in
language and
cataloguing
rules
VIAF
What is VIAF?
Virtual International Authority File
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Merge of 24+ national level authority files
Cooperative program run by OCLC
Initiated by LoC, DNB, BnF and OCLC
29 million authority records
112 million bibliographic records
• Migrated from an OCLC Research project to an
OCLC service in 2012
• VIAF is available as linked data
FAST
What is FAST?
Faceted Application of Subject Terminology
– Joint effort of OCLC Research & Library of Congress
– Provides a faceted version of LCSH (Library of
Congress Subject Heading)
– Available as linked data
een klein uitstapje
Classify nearest records
• Find FAST headings for Dutch catalog records
• For each record without classification find the
most similar record with classification
• Assign the code
een klein uitstapje
• 13.3M Dutch central catalog records
• 9.6M Have no fast heading
• 1.4 can be assigned a fast heading (60%
accurate)
• For records with fast headings catalogers
selected for identical records the same
heading 66% of the time.
syndication
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VIAF in WikiData
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analytics
learning from data
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discovery
happens
elsewhere
data-driven decision-making
Thinking the unthinkable: a library without a
catalogue -- Reconsidering the future of
discovery tools for Utrecht University
library
Simone Kortekaas at the
LIBER Conference 2012
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Source: http://bit.ly/Sf09Ix
be the “Platform”
… understand user behaviour
… interact with the user
… improve the user experience
Source:http://www.guardian.co.uk/commentisfree/cartoon/2013/jun/10/
william-hague-statement-gchq-cartoon
user
behaviour
“Why Google?” Webinar
Digital Visitors and Residents:
What Motivates Engagement with the
Digital Information Environment?
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Learning from the platforms
Data-driven approach:
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Not only collect data, but also analyse and act upon it;
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Understand what is happening under the hood:
put a system in place of sensors, triggers and
controlled experiments;
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It is all about mass: deployment and mining at scale
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Learn from continuous interactions with users;
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Feed user-knowledge back into the system.
Thank You!
[email protected]
©2013 OCLC. This work is licensed under a Creative Commons Attribution 3.0 Unported License. Suggested attribution:
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