innovatie in oclc verband
TRANSCRIPT
Titia van der Werf
Senior Program Officer, OCLC Research
31 oktober, 2013
OCLC Contactdag 2013 – Jaarbeurs Utrecht
Innovatie in OCLC verband
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analyticsFutureCast
data innovations
preservationhealth check Wikidata
user behaviour
born digital
OCLC Research Library Partnership
US & Canada(Americas)119/78%
Asia-Pacific7/4%
Europe &Middle East (EMEA)27/18%
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FutureCast
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Metadata management
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Listening to the voice of the illuminati
Top of Mind (25)
High Medium Low
• Special & Archival Collections
• Data Management• Shared Print
Management• Staff realignment,
development• Research Support• Space Usage
• Partnerships Collaboration
• Community Engagement
• Digital Humanities• Distinctive Services• Born Digital• Collection Analysis• Shared Services• Social Media• Technology
Infrastructure
• Area Studies• Collaborative
Collection Development
• Curriculum Integration• Digital Aggregations• Digital Selection• Discovery Layer• E-resources• Embedded Librarians• Metadata
Management• User Studies
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Top of Mind
RANK
MEN
TIO
NS
Special and Archival Collections
Data Management
Shared Print
Staff Realignment and development
Research Support Services
Space
Michalko for OCLC Research. 2013.
OCLC Research work agenda
Advancing the Research Mission
How can libraries have maximum impact in providing support to academic departments ?
Mobilizing Unique Materials
Describe, disclose, discover, deliver effectively
Metadata Management
Adapt metadata management to economic realities, user expectations and the requirements of network-level services
Infrastructure and Standards
Help develop and adopt new architectures and standards
The System-wide Library
Cooperative models of acquiring, managing and disclosing collections
User Behavior
How to better serve library users' needs now and in the future
Partnership driven
Strategy driven
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Strategic areas discovery happens elsewhere
making data work harder
user behaviour
efficie
ncies o
f sca
le
inside-out
outside-in
syndication
OCLC chief strategist
WorldCat growth since 1998
1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 20120
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39 41 44 47 50 52 55 61 6786
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139
197
236
264
Millions of records
As of 27 April 2012
making data work harder
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
Aggregating datadata innovations
FRBR Entity Levels (2002)
The novel
Original Text Translation Critical Edition
Paper
Copy 1 Autographed
Copy 2
HTML
Work
Expression
Manifestation
Item
The movie
Original Version
Based on a graphic in Tillett, Barbara: http://www.iccu.sbn.it/upload/documenti/Tillett.ppt
Manifestations
Reproductions
Translations
Genres
FRBRisation of WorldCat: 2006 - now
Manifestations
Reproductions
Translations
Genres
FRBRisation of WorldCat: 2006 - now
GLIMIR:Clustering records which differ in language and cataloguing rules
VIAF
What is VIAF?Virtual International Authority File
• 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
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
FAST
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.
een klein uitstapje
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syndication
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VIAF in WikiData
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learning from dataanalytics
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data-driven decision-makingdiscovery happens elsewhere
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
Source: http://bit.ly/Sf09Ix
… understand user behaviour
… interact with the user
… improve the user experience
be the “Platform”
Source:htt
p://ww
w.guardian.co.uk/com
mentisfree/cartoon/2013/jun/10/w
illiam
-hague-statement-gchq-cartoon
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“Why Google?” Webinar
Digital Visitors and Residents: What Motivates Engagement with theDigital Information Environment?
user behaviour
Data-driven approach:• Not only collect data, but also analyse and act upon it;
• Understand what is happening under the hood:put a system in place of sensors, triggers and controlled experiments;
• It is all about mass: deployment and mining at scale
• Learn from continuous interactions with users;
• Feed user-knowledge back into the system.
Learning from the platforms
Thank You!
©2013 OCLC. This work is licensed under a Creative Commons Attribution 3.0 Unported License. Suggested attribution: “This work uses content from [presentation title] © OCLC, used under a Creative Commons Attribution license: http://creativecommons.org/licenses/by/3.0/”
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