a tale of two consortia

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ATaleofTwoConsortia

Rogan Hamby

Feelfreetointerrupt.

SelectedReading

"TheConsortial EffectinDetail:TheSCLENDSExperience"

byRobertMolyneux &RoganHambyLibraryandBookTradeAnnual,

57thEdition,2012

DataCaveats

ThedatafrombothconsortiumsisfromtheirstartsuntiltheendofJuly2015.

Dataisaggregatedbyowner,libraryandtransactionsbutthereisnocopy,bibliographicoruserleveldatathatwouldhelpanswersomeofthelongtailquestions.

TheConsortia

NCCardinal

SCLENDS

TwoConsortia- Similarities

wellestablished2011/2009publicw/astatelibrary

similarmixorurbanandruralsimilareconomicdiversity

similarculturalandregionalinfluencesbothareresourcesharing

TwoConsortia- Similarities

longerperiodofconstantmembership

moremunicipalmore

regionals

CopyrightbyPuck,usedunderCCAttribution License2.5

Ididremovethestandarddeviants.

CirculationsinDataSet

45,629,855Circulations

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Jun-09

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Apr-1

5

Jun-15

HoldsinDataSet

3,526,910holds

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Apr-1

4

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Apr-1

5

Jun-15

TerminologyofHolds

LocalHolds– withinsystem

ICLs– IntraConsortiaLoans

ILLs– InterLibraryLoans(extraconsortia)

ICLs2009– 2015AllLibraries

0

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60000

2009 2010 2011 2012 2013 2014 2015

ICLs2009– 2015SmallerLibraries

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4500

1 2 3 4 5 6 7

Question1

IstherealongtermpatterntoICLs?

PercentageofHoldsOverTime

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1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45 47 49 51 53 55 57 59 61 63 65 67 69 71 73

June2009- July 2015AverageICLsasPercentages

Question2

Dolibrarieshaveademandthresholdordoesitscalewithavailablematerials?CanwesaythereisapointthatICLswillmaxout?Wheyeven

askthis?

StableSample

• SCLENDSLibrariesthathavebeenlivesinceDecember2009

• 9insample• StateLibraryexcludedbecauseIcan’tmeaningfullyapplycriterialikepovertyandpopulationscorestoitwithit’sspecialuserbase

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SCLENDSICLsasPercentageswithGoLives

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1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45 47 49 51 53 55 57 59 61 63 65 67 69 71 73

SCLENDSLibrariesasofDec2009OnlyOnward

282%

247%

226%235%

212%

166%

vs414%Forall

vs349%Forall

NCCardinallibrariesdidnothaveasimilargolivepattern.Itwas16monthsfortheirfirstnine

systemstogolive.Alternativelytheyhad4librariesgoliveinsixmonth.Icouldhave

chosenthefirstsinglegolivebutthatwouldhaveahighvariance.Isplitthedifferencebychoosingthefirst7libraries,whichwentlive

over10months.

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1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45 47 49 51 53 55 57 59 61 63 65 67 69 71 73

OriginalGoLiveLibrary’s RiseofICLsaspercentagesmonthtomonth

maxsclends 350%

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1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45 47 49 51 53 55 57 59 61 63 65 67 69 71 73

NCCardinalLibrariesasofMarch2012w/PercentageICLsvsLaterGoLivesICLsasPercentages

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PercentagesofHoldsMonthtoMonth

SCLENDS NCCardinal

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1 2 3 4 5 6 7 8 9 1011121314151617181920212223242526272829303132333435363738394041424344454647484950515253545556575859606162636465666768697071727374

GrowthofICLsofEarlyLibraries

SCLENDS NCCardinal

Resultisthatconsortiamagnifythedepthofcollectionsandhaveasignificantimpactbutitisinconclusiveifthereisapredictablesaturationpoint.SCdatasuggestsasaturationpointmet

whileNCdatadoesnot.

Isthereapopulationdifferencethatwouldexplainthesediscrepancies?

Population

58,192

101,374

mean

range

112,618

230468

TwoSmallerLibrariesFromEarlyAdopters

Smallestinearlyadoptersets.Popsof41,434and46,125.

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1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45 47 49 51 53 55 57 59 61 63 65 67 69

NCCardinalvsSCLENDSSingleEarlyAdopter

TwoLargeLibraries

Popsof245,346and250,539.

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SClargelibrarypercentofholds vsNClargelibrarypercentofholds

Thistellsusweshouldprobablydigdeepercontrollingforpopulation.

Smalllibrarieshavegreaterpotentialforvariationbutherewesawitwiththelarge

libraries.

Inothervariables…

IndexMundi’s2009-2013indexofpopulationbelowpovertyindex

Itwouldbecriticalthatweadditionallycontrolforpatron,itemandbibliographicleveldatato

betteranswerthesequestions.

Addingon…ifIcan

FromCirc andHoldsreports:PatronID,ItemID

FromAsset/BibTables:ItemID,BibID,020/022/024,normalizedtitle,author,TCN

SCLENDS,NCCardinal,GAPINES

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