Old silos, new silos, no silos

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Old silos, new silos, no silos From redundancy to aggregation or distribution? Lukas Koster Library Systems Coordinator Library of the University of Amsterdam @lukask [email protected] SWIB12, Köln, November 26-28, 2012 http://www.flickr.com/photos/alpoma/4786094569
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SWIB12, Köln, 2012. Video recording: http://www.scivee.tv/node/55381

Transcript of Old silos, new silos, no silos

  • 1.Old silos, new silos, no silosFrom redundancy to aggregation or distribution?Lukas KosterLibrary Systems CoordinatorLibrary of the University of [email protected]@uva.nlSWIB12, Kln, November 26-28, 2012 http://www.flickr.com/photos/alpoma/4786094569

2. System incapable of reciprocal operation withother, related What is asilo? information systems http://en.wikipedia.org/wiki/Information_silo Old silos, new silos, no silos - SWIB12 - [email protected]://www.flickr.com/photos/[email protected]/1472185959 3. System containing data, onlyaccessible via internal system calls access dataSILO NO SILO Old silos, new silos, no silos - SWIB12 - [email protected] 4. Application Programming InterfaceAPIDirect accesssystem call data call(LOD)http://twitter.com/hochstenbach/status/268033173366124544http://twitter.com/jindrichmynarz/status/269089964103434242 Old silos, new silos, no silos - SWIB12 [email protected] 5. FocusTraditional library content: publicationshttp://commons.wikimedia.org/wiki/File:Latin_dictionary.jpg Old silos, new silos, no silos - SWIB12 - [email protected] 6. StoryOld silos, new silos, no silos - SWIB12 -6 @lukask 7. http://igelu.org/wp-content/uploads/2010/10/smug4eu_issue2.pdfOld silos, new silos, no silos - SWIB12 -7 @lukask 8. ! 7 years ago!A: Federated search systems are deadBut you wont get those kids back that you have already lost. They will staywith GoogleB: But what is the alternative? Build big databases like Google does?Harvest data till you drop?Probably we do need both. Big databases as well as federated search.C: Perhaps only a limited number of distributed harvested indexesaround the world.Federated search can survive and be used for accessing those indexes! Old silos, new silos, no silos - SWIB12 - [email protected] 9. ! 7 years ago!A: Federated search systems are deadBut you wont get those kids back that you have already lost. They will staywith GoogleB: But what is the alternative? Build big databases like Google does?Harvest data till you drop?Probably we do need both. Big databases as well as federated search.C: Perhaps only a limited number of distributed harvested indexesaround the world.Federated search can survive and be used for accessing those indexes! Old silos, new silos, no silos - SWIB12 - [email protected] 10. http://igelu.org/wp-content/uploads/2010/10/smug4eu_issue4.pdfOld silos, new silos, no silos - SWIB12 - 10 @lukask 11. If libraries describe their philosophy theyll certainly also talk about integration integration of services, integration of assets and resources.To make an excellent service all these tools need to function as an integratedsystem. Not only with each other, but also interacting with the rest, such as theinstitutional website, the institutional portal, third partys learning environments.Technically speaking, integration may result in a functioning or a unified whole.A functioning whole may be understood as an integrated structure ofcooperating tools in which the different parts (like in this case SFX, MetaLib orother tools) can be distinguished as such, whereas a unified whole wouldmean that the end users experience one new system or user interface thatconceals the integrated parts.Combining different databases in real or virtual collections that can beaccessed by a number of integrated or nonintegrated tools.When libraries are talking about integration, they are not only thinking aboutthe users perspective, but also about the backend of their business, whereinternal workflows are in focus. In general, our aim is to reduce duplicatingwork, to store the same information only once, to cooperate closely.Old silos, new silos, no silos - SWIB12 - 11 @lukask 12. Libraries integration of services, assets and resources.Integrated systems Functioning whole: an integrated structure of cooperating,distinguishable tools Unified whole: one new system of concealed integrated partsCombined databases Real collections Virtual collectionsData management Harvest data Big data Distributed harvested indexesBackend integration of internal workflows Reduce duplicating work Store the same information only once Cooperate closely Old silos, new silos, no silos - SWIB12 - [email protected] 13. StoryOld silos, new silos, no silos - SWIB12 -13 @lukask 14. http://www.flickr.com/photos/[email protected]/4218544261/Libraries: local collections of physical printed publicationsOld silos, new silos, no silos - SWIB12 -14 @lukask 15. http://www.flickr.com/photos/[email protected]/4218548045/ Catalogues: finding publications and their locations Old silos, new silos, no silos - SWIB12 - [email protected] 16. http://www.flickr.com/photos/cat-sidh/457060770Old silos, new silos, no silos - SWIB12 - 16 @lukask 17. http://en.wikipedia.org/wiki/File:Screenshot_of_Dynix_library_automation_software_in_green.pnghttp://www.flickr.com/photos/dukeyearlook/7046582583Old silos, new silos, no silos - SWIB12 - 17 @lukask 18. Old silos, new silos, no silos - SWIB12 -18 @lukask 19. http://www.flickr.com/photos/oliver_leitzgen/2967000266/ 19 Old silos, new silos, no silos - SWIB12 [email protected] 20. Old silos, new silos, no silos - SWIB12 -20 @lukask 21. SilosData trapshttp://www.flickr.com/photos/msueasrecords/6242093298/Old silos, new silos, no silos - SWIB12 - 21 @lukask 22. Silo originsTechnologyEconomicsLicenses http://www.flickr.com/photos/kotomi-jewelry/5035479051/TraditionPsychology Old silos, new silos, no silos - SWIB12 - [email protected] 23. Serious StoryOld silos, new silos, no silos - SWIB12 -23 @lukask 24. ILS = Library CatalogueREPO = Institutional RepositoryDB = DatabaseEJ = EJournalBibliographic data ILS REPOILSREPO ILS REPO DB DB DB EJ EJ EJOld silos, new silos, no silos - SWIB12 -24 @lukask 25. ILS = Library CatalogueREPO = Institutional RepositoryDB = DatabaseEJ = EJournalFederated search ILS REPOILSREPO ILS REPO DB DB DB EJ EJ EJOld silos, new silos, no silos - SWIB12 -25 @lukask 26. ILS = Library CatalogueREPO = Institutional RepositoryDB = DatabaseEJ = EJournalAGG = Aggregation Aggregations Google ScholarWorldcat Union Repository CatalogueGatewayAGGAGGAGG ILS REPOILSREPOILS REPO DB DB DBEJ EJEJ Old silos, new silos, no silos - SWIB12 - [email protected] 27. ILS = Library CatalogueREPO = Institutional RepositoryDB = DatabaseEJ = EJournalAGG = AggregationFederated search Google ScholarWorldcat Union Repository CatalogueGatewayAGGAGGAGG ILS REPOILSREPOILS REPO DB DB DBEJ EJEJ Old silos, new silos, no silos - SWIB12 - [email protected] 28. ILS = Library CatalogueREPO = Institutional RepositoryDB = DatabaseEJ = EJournalAGG = AggregationAggregated search Google ScholarWorldcat Union Repository CatalogueGatewayAGGAGGAGG ILS REPOILSREPOILS REPO DB DB DBEJ EJEJ Old silos, new silos, no silos - SWIB12 - [email protected] 29. ILS = Library CatalogueREPO = Institutional RepositoryDL DL DLDB = DatabaseEJ = EJournalAGG = AggregationDI = Discovery IndexDL = Discovery LayerDIDiscoveryDI DIGoogle ScholarWorldcat Union Repository CatalogueGatewayAGGAGG AGG ILS REPOILSREPOILS REPO DB DB DBEJEJEJ Old silos, new silos, no silos - SWIB12 [email protected] 30. ILS = Library CatalogueREPO = Institutional RepositoryDL DL DLDB = DatabaseEJ = EJournalAGG = AggregationDI = Discovery IndexDL = Discovery LayerDI DI DIGoogle ScholarWorldcatBibliographic data Union Repository CatalogueGatewayAGGAGG AGG ILS REPOILSREPOILS REPO DB DB DBEJEJEJ Old silos, new silos, no silos - SWIB12 [email protected] 31. ILS = Library CatalogueREPO = Institutional Repository DLDL DLDB = DatabaseEJ = EJournalAGG = AggregationDI = Discovery IndexDL = Discovery Layer B B BC HCHC H DIDI DIBBibliographic dataB BHHHoldings dataB Google ScholarHHCCirculation data WorldcatBH B H Repository Union CatalogueGatewayAGG AGGAGG B B B B BHH H C H C ILS REPOILS REPOILS REPO DBDBDB EJEJ EJ B BB BB BB B B B B BH H HHHHC H Csilos, new silos, no silos - SWIB12 -OldCC C C @lukaskC31 32. ILS = Library CatalogueREPO = Institutional Repository DLDL DLDB = DatabaseEJ = EJournalAGG = AggregationDI = Discovery IndexDL = Discovery Layer B B BNG = Next Generation ILSC HCHC H DIDI DIBBibliographic dataB BHHHoldings dataB Google ScholarHHCCirculation data NG WorldcatBNGHNG B H Repository Union CatalogueGatewayAGG AGGAGG B B B B BHH H C H C ILS REPOILS REPOILS REPO DBDBDB EJEJ EJ B BB BB BB B B B B BH H HHHHC H Csilos, new silos, no silos - SWIB12 -OldCC C C @lukaskC32 33. ILS = Library CatalogueREPO = Institutional Repository DL DL DLDB = DatabaseEJ = EJournalAGG = AggregationDI = Discovery IndexDL = Discovery Layer BB BNG = Next Generation ILSCHCHC H DI DI DIBBibliographic data B B HHHoldings data B Google ScholarH HCCirculation data NG Worldcat BNG H BNG B H CB C H Repository H UnionGateway B CatalogueH C AGG AGGAGG B BB B BHH H CH C ILS REPOILS REPOILS REPODBDBDB EJEJ EJ B B B BB BB B B B B B H H HHHHC H Csilos, new silos, no silos - SWIB12 -Old CC C [email protected] C33 34. ILS = Library CatalogueREPO = Institutional RepositoryDL DL DLDB = DatabaseEJ = EJournalAGG = AggregationDI = Discovery IndexDL = Discovery LayerBB BNG = Next Generation ILS CHCHCHDI DI DIB Bibliographic dataBB HH Holdings data B Google Scholar H HC Circulation dataNGWorldcat B NG HBNG BH CB CH Repository H Union Gateway B Catalogue H C AGG AGGAGG BBB B BH H H CH C REPO REPOILS REPODBDBDB EJEJ EJB B B BB BB BB B H H HH Old CH Csilos, new silos, no silos - SWIB12 - CC @lukaskC34 35. Not very efficientFree market leads to efficiency?Not really!Huge redundancies Missing dataObscure, cloudy situationUnequal accessOld silos, new silos, no silos - SWIB12 -35 @lukask 36. Library crisis245 $ aOld silos, new silos, no silos - SWIB12 -36 @lukask 37. Silutions?http://www.flickr.com/photos/thelightningman/5494666930Old silos, new silos, no silos - SWIB12 -37 @lukask 38. Stand-alone AggregationRedundantComplementaryStand-aloneRedundantComplementary Redundantaggregation Aggregations aggregations ComplementaryOld silos, new silos, no silos - SWIB12 -38 @lukask 39. Completely distributed Less redundancyRedundancy risk Up to date Performance risk TrustPersistence risk Share workload Inconsistent indexes Trust http://en.wikipedia.org/wiki/Fallacies_of_Distributed_ComputingOld silos, new silos, no silos - SWIB12 -39 @lukask 40. Is linked data the answer? Karen Coyle at EMTACL12: The web is awash in bibliographic data Most of what we would contribute would be duplication of data that already exists It is library holdings that is key to providing service and furthering knowledge creationhttp://www.kcoyle.net/presentations/thinkDiff.pdfOld silos, new silos, no silos - SWIB12 -40 @lukask 41. Completely centralisedOld silos, new silos, no silos - SWIB12 -41 @lukask 42. Completely aggregated Speed Persistence risk Consistency Trust No redundancy Share workload Old silos, new silos, no silos - SWIB12 - [email protected] 43. Distributed aggregation SpeedPersistence risk ConsistencyReduncancy risk Share workoadSilos Old silos, new silos, no silos - SWIB12 - 43 @lukask 44. Next Generation ILS in the cloud FRBR WorldcatCommunityWork /shared Expression Union zoneManifestationCatalogueLibraryItemsILS zone Holdingshttp://thoughts.care-affiliates.com/2012/10/impressions-of-new-library-service.htmlOld silos, new silos, no silos - SWIB12 - 44 @lukask 45. LoC Bibliographic FrameworkWorkItems ExpressionManifestationHoldingshttp://www.loc.gov/marc/transition/Old silos, new silos, no silos - SWIB12 - 45 @lukask 46. WorldcatCommunity /shared UnionCatalogue zone LibraryILSzoneOld silos, new silos, no silos - SWIB12 - 46 @lukask 47. WorldcatCommunity Google Scholar /shared zone Libraryzone Old silos, new silos, no silos - SWIB12 [email protected] 48. Brave new worldOld silos, new silos, no silos - SWIB12 -48 @lukask 49. Library roles Reconsider objectives Shift focus Communicate with system vendors Communicate with content vendors Engage in framework transition Cooperate Old silos, new silos, no silos - SWIB12 - [email protected] 50. Dont think systemsThink data http://www.flickr.com/photos/[email protected]/261930788/ Old silos, new silos, no silos - SWIB12 [email protected]