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Innovatie in OCLC verband
 

Innovatie in OCLC verband

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  • So what have we learned from the platforms?

Innovatie in OCLC verband Innovatie in OCLC verband Presentation Transcript

  • Innovatie in OCLC verband Titia van der Werf Senior Program Officer, OCLC Research 31 oktober, 2013 OCLC Contactdag 2013 – Jaarbeurs Utrecht
  • 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 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
  • 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
  • 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
  • Strategic areas discovery happens elsewhere syndication OCLC chief strategist making data work harder user behaviour inside-out outside-in 11
  • 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
  • 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
  • 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
  • FRBRisation of WorldCat: 2006 - now Genres Translations Manifestations Reproductions
  • FRBRisation of WorldCat: 2006 - now Genres Translations Manifestations Reproductions 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
  • 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
  • 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
  • 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.
  • 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 -- Reconsidering the future of discovery tools for Utrecht University library Simone Kortekaas at the LIBER Conference 2012 24
  • 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 Information Environment? 28
  • 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.
  • 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/”
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