1. Network-level metadata aggregations Titia van der Werf Strasbourg, 26 february 2013 Metadata out of control

2. http://old-photos.blogspot.nl/2011_01_01_archive.html http://upload.wikimedia.org/wikipedia/en/1/1e/T%26T_Supermarket.jpg From local catalogues...... to large metadata aggregations.

3. Linking Open Data cloud diagram, by Richard Cyganiak and Anja Jentzsch. http://lod-cloud.net/ http://www.theeuropeanlibrary.org/confluence/display/wiki/A+Library+domain+aggregator From an infrastructure of aggregators...... to the web of data tapestry.

4. E U R O P E, M I D D L E E A S T & A F R I C A R E G I O N A L C O U N C I L Taking a closer look at the emerging web of data tapestry

13. E U R O P E, M I D D L E E A S T & A F R I C A R E G I O N A L C O U N C I L Where are the libraries and archives in the Web tapestry?

14. E U R O P E, M I D D L E E A S T & A F R I C A R E G I O N A L C O U N C I L Becoming one with the Web Rule 1: the Web = the System Web = where our users are Web = an important aggregation of content Web = the underlying infrastructure for e- retail, e-logistics, track&trace, etc. Web = the metrics (clickstream)

15. E U R O P E, M I D D L E E A S T & A F R I C A R E G I O N A L C O U N C I L The problem is not:... that our metadata aggregations are not meeting end user needs and that we should try to get them back to our systems...

16. E U R O P E, M I D D L E E A S T & A F R I C A R E G I O N A L C O U N C I L Rethinking the future of the library catalogue 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

17. E U R O P E, M I D D L E E A S T & A F R I C A R E G I O N A L C O U N C I L “Our users are on the Internet and use Google or Google-like discovery tools. They find the content they need and then expect the library to deliver the content. We concluded that if, indeed, this is the world of our users, if this is reality, (…) there really is no need for libraries to try and pull their users back to the library systems.” http://www.libereurope.eu/blog/thinking-the-unthinkable-a-library-without-a-catalogue-reconsidering-the-future-of-discovery-to

18. E U R O P E, M I D D L E E A S T & A F R I C A R E G I O N A L C O U N C I L Rule 2: Libraries = operate in the back-end of the Web Separate discovery and delivery Local catalogues and library domain metadata aggregations have become primarily known-item delivery facilities: supply aggregators. For delivery => push location and access data to the Web via supply aggregators

22. E U R O P E, M I D D L E E A S T & A F R I C A R E G I O N A L C O U N C I L e-logistics in the web tapestry: who is doing what?

23. E U R O P E, M I D D L E E A S T & A F R I C A R E G I O N A L C O U N C I L Rule 3: Libraries = push quality data to the front-end of the Web Which data are important?

24. E U R O P E, M I D D L E E A S T & A F R I C A R E G I O N A L C O U N C I L The 4 Ws: what, who, where, when

25. E U R O P E, M I D D L E E A S T & A F R I C A R E G I O N A L C O U N C I L Data quality: OCLC Who = author => VIAF What = work => clustering works (FRBRization and Glimirization of WorldCat) Where = location => Registry of Libraries; Find a Library Near You

26. E U R O P E, M I D D L E E A S T & A F R I C A R E G I O N A L C O U N C I L Data quality: Europeana/OCLC Who: matching to VIAF What: clustering similar items (reconstructing books and archival collections) Where: landing page institutional website

27. E U R O P E, M I D D L E E A S T & A F R I C A R E G I O N A L C O U N C I L Continuous quality improvement Looking at new data modeling solutions: Europeana (EDM), LoC (BibFrame), etc. Libraries are structuring systems – continuously organising and reorganising the same data.

28. E U R O P E, M I D D L E E A S T & A F R I C A R E G I O N A L C O U N C I L Continuous quality improvement Wikipedia and Google are learning systems – continuously improving the data and relying on crowd sourcing for correcting and improving the quality of the data

29. E U R O P E, M I D D L E E A S T & A F R I C A R E G I O N A L C O U N C I L Quality of the system is only as good as the quality of the data