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

0 5 10 15 20 250

5

10

15

20

25

30

35

40

45

50

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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100

150

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250

39 41 44 47 50 52 55 61 6786

108

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

PDF

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/”

titia.vanderwerf@oclc.org

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