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Contactdag 2013. Innovatie in OCLC verband. Titia van der Werf. Senior Program Officer, OCLC Research. 31 oktober , 2013. OCLC Contactdag 2013 – Jaarbeurs Utrecht. data innovations. analytics. FutureCast. preservation health check. Wikidata. user behaviour.
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Innovatie in OCLC verband Titia van der Werf Senior Program Officer, OCLC Research 31 oktober, 2013 OCLC Contactdag 2013 – Jaarbeurs Utrecht
data innovations analytics FutureCast preservation health check Wikidata user behaviour born digital
OCLC Research Library Partnership US & Canada (Americas) 119/78% Asia- Pacific 7/4% Europe & Middle East (EMEA) 27/18%
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
OCLC Research work agenda Partnership driven Strategy driven
Strategic areas discovery happens elsewhere efficiencies of scale syndication OCLC chief strategist making data work harder user behaviour inside-out outside-in
WorldCat growth since 1998 making data work harder 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
The movie Original Version FRBR Entity Levels (2002) Based on a graphic in Tillett, Barbara: http://www.iccu.sbn.it/upload/documenti/Tillett.ppt
FRBRisation of WorldCat: 2006 - now Genres Translations Manifestations Reproductions
FRBRisation of WorldCat: 2006 - now Genres Translations Manifestations GLIMIR: Clustering records which differ in language and cataloguing rules Reproductions
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
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
eenkleinuitstapje 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
eenkleinuitstapje • 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.
learning from data analytics
data-driven decision-making discovery 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
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-cartoonSource:http://www.guardian.co.uk/commentisfree/cartoon/2013/jun/10/william-hague-statement-gchq-cartoon
“Why Google?” Webinar user behaviour Digital Visitors and Residents: What Motivates Engagement with the Digital Information Environment?
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.