0
Innovatie in OCLC verband
Titia van der Werf
Senior Program Officer, OCLC Research
31 oktober, 2013
OCLC Contactdag 2013 –...
2
data
innovations

analytics
FutureCast

preservation
health check

Wikidata
user
behaviour

born digital

3
OCLC Research Library Partnership

US &
Canada
(Americas)
119/78%

AsiaPacific
7/4%

Europe &
Middle East (EMEA)
27/18%
FutureCast

5
Metadata management

6
Listening to the voice of the illuminati

7
Top of Mind (25)
High
•
•
•
•
•
•

Special & Archival
Collections
Data Management
Shared Print
Management
Staff
realignmen...
50

Top of Mind
Special and Archival Collections

45

40

35

MENTIONS

30

Data Management
25

Shared Print
Staff Realign...
OCLC Research work agenda
Mobilizing Unique Materials

Partnership driven

Describe, disclose, discover, deliver effective...
Strategic areas

discovery
happens
elsewhere

syndication
OCLC
chief strategist

making
data
work harder

user
behaviour
i...
WorldCat growth since 1998

making
data
work harder

Millions of records

264

250
236
200
197
150
139
100

108
86

50
39
...
Aggregating data

data
innovations

In aggregations:
• data lose their local context
• data get lost in the bigger context...
FRBR Entity Levels (2002)
Work

Expression

Translation

Critical
Edition

Paper

Original Text

PDF

Manifestation
Item

...
FRBRisation of WorldCat: 2006 - now
Genres

Translations

Manifestations

Reproductions
FRBRisation of WorldCat: 2006 - now
Genres

Translations

Manifestations

Reproductions

GLIMIR:
Clustering
records which
...
VIAF
What is VIAF?
Virtual International Authority File
•
•
•
•
•

Merge of 24+ national level authority files
Cooperative...
FAST
What is FAST?
Faceted Application of Subject Terminology
– Joint effort of OCLC Research & Library of Congress

– Pro...
een klein uitstapje
Classify nearest records
• Find FAST headings for Dutch catalog records

• For each record without cla...
een klein uitstapje
• 13.3M Dutch central catalog records
• 9.6M Have no fast heading
• 1.4 can be assigned a fast heading...
syndication

21
VIAF in WikiData

22
analytics

learning from data

23
discovery
happens
elsewhere

data-driven decision-making

Thinking the unthinkable: a library without a
catalogue -- Recon...
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 Informat...
Learning from the platforms
Data-driven approach:
•

Not only collect data, but also analyse and act upon it;

•

Understa...
Thank You!
titia.vanderwerf@oclc.org

©2013 OCLC. This work is licensed under a Creative Commons Attribution 3.0 Unported ...
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  • Transcript of "Innovatie in OCLC verband"

    1. 1. Innovatie in OCLC verband Titia van der Werf Senior Program Officer, OCLC Research 31 oktober, 2013 OCLC Contactdag 2013 – Jaarbeurs Utrecht
    2. 2. 2
    3. 3. data innovations analytics FutureCast preservation health check Wikidata user behaviour born digital 3
    4. 4. OCLC Research Library Partnership US & Canada (Americas) 119/78% AsiaPacific 7/4% Europe & Middle East (EMEA) 27/18%
    5. 5. FutureCast 5
    6. 6. Metadata management 6
    7. 7. Listening to the voice of the illuminati 7
    8. 8. Top of Mind (25) High • • • • • • Special & Archival Collections Data Management Shared Print Management Staff realignment, develop ment Research Support Space Usage Medium • • • • • • • • • Partnerships Collaboration Community Engagement Digital Humanities Distinctive Services Born Digital Collection Analysis Shared Services Social Media Technology Infrastructure Low • • • • • • • • • • Area Studies Collaborative Collection Development Curriculum Integration Digital Aggregations Digital Selection Discovery Layer E-resources Embedded Librarians Metadata Management User Studies
    9. 9. 50 Top of Mind Special and Archival Collections 45 40 35 MENTIONS 30 Data Management 25 Shared Print Staff Realignment and development 20 Research Support Services 15 Space 10 5 Michalko for OCLC Research. 2013. 0 0 5 10 RANK 15 20 25
    10. 10. 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
    11. 11. Strategic areas discovery happens elsewhere syndication OCLC chief strategist making data work harder user behaviour inside-out outside-in 11
    12. 12. WorldCat growth since 1998 making data work harder Millions of records 264 250 236 200 197 150 139 100 108 86 50 39 41 44 47 50 52 55 61 67 0 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 As of 27 April 2012
    13. 13. 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
    14. 14. FRBR Entity Levels (2002) Work Expression Translation Critical Edition Paper Original Text 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
    15. 15. FRBRisation of WorldCat: 2006 - now Genres Translations Manifestations Reproductions
    16. 16. FRBRisation of WorldCat: 2006 - now Genres Translations Manifestations Reproductions GLIMIR: Clustering records which differ in language and cataloguing rules
    17. 17. 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
    18. 18. 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
    19. 19. 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
    20. 20. 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.
    21. 21. syndication 21
    22. 22. VIAF in WikiData 22
    23. 23. analytics learning from data 23
    24. 24. 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 24
    25. 25. Source: http://bit.ly/Sf09Ix
    26. 26. be the “Platform” … understand user behaviour … interact with the user … improve the user experience
    27. 27. Source:http://www.guardian.co.uk/commentisfree/cartoon/2013/jun/10/ william-hague-statement-gchq-cartoon
    28. 28. user behaviour “Why Google?” Webinar Digital Visitors and Residents: What Motivates Engagement with the Digital Information Environment? 28
    29. 29. Learning from the platforms 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.
    30. 30. Thank You! titia.vanderwerf@oclc.org ©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/”
    31. 31. Pauze en zaalwissel
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