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Innovations in Data Management: Insights from OCLC Contact Day 2013

At the OCLC Contact Day 2013, Titia van der Werf, Senior Program Officer at OCLC Research, discussed significant innovations in library data management and user behavior. Key topics included data analytics, the impact of born-digital collections, and the future of metadata management. The session explored user engagement strategies and partnerships in the field of library research, emphasizing the need for a data-driven approach to enhance discovery tools in libraries. Learn how collaborative efforts and technological advancements are shaping the future of libraries.

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Innovations in Data Management: Insights from OCLC Contact Day 2013

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  1. Contactdag 2013

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

  3. data innovations analytics FutureCast preservation health check Wikidata user behaviour born digital

  4. OCLC Research Library Partnership US & Canada (Americas) 119/78% Asia- Pacific 7/4% Europe & Middle East (EMEA) 27/18%

  5. FutureCast

  6. Metadata management

  7. Listening to the voice of the illuminati

  8. 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

  9. Michalko for OCLC Research. 2013.

  10. OCLC Research work agenda Partnership driven Strategy driven

  11. Strategic areas discovery happens elsewhere efficiencies of scale syndication OCLC chief strategist making data work harder user behaviour inside-out outside-in

  12. WorldCat growth since 1998 making data work harder As of 27 April 2012

  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. The movie Original Version FRBR Entity Levels (2002) Based on a graphic in Tillett, Barbara: http://www.iccu.sbn.it/upload/documenti/Tillett.ppt

  15. FRBRisation of WorldCat: 2006 - now Genres Translations Manifestations Reproductions

  16. FRBRisation of WorldCat: 2006 - now Genres Translations Manifestations GLIMIR: Clustering records which differ in language and cataloguing rules Reproductions

  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. 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. 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

  20. 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.

  21. syndication

  22. VIAF in WikiData

  23. learning from data analytics

  24. 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

  25. Source: http://bit.ly/Sf09Ix

  26. be the “Platform” … understand user behaviour … interact with the user … improve the user experience

  27. 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

  28. “Why Google?” Webinar user behaviour Digital Visitors and Residents: What Motivates Engagement with the Digital Information Environment?

  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. titia.vanderwerf@oclc.org

  31. Pauze en zaalwissel

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