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A Tale of Two Consortia Rogan Hamby

A Tale of Two Consortia

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Page 1: A Tale of Two Consortia

ATaleofTwoConsortia

Rogan Hamby

Page 2: A Tale of Two Consortia

Feelfreetointerrupt.

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SelectedReading

"TheConsortial EffectinDetail:TheSCLENDSExperience"

byRobertMolyneux &RoganHambyLibraryandBookTradeAnnual,

57thEdition,2012

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DataCaveats

ThedatafrombothconsortiumsisfromtheirstartsuntiltheendofJuly2015.

Dataisaggregatedbyowner,libraryandtransactionsbutthereisnocopy,bibliographicoruserleveldatathatwouldhelpanswersomeofthelongtailquestions.

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TheConsortia

NCCardinal

SCLENDS

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TwoConsortia- Similarities

wellestablished2011/2009publicw/astatelibrary

similarmixorurbanandruralsimilareconomicdiversity

similarculturalandregionalinfluencesbothareresourcesharing

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TwoConsortia- Similarities

longerperiodofconstantmembership

moremunicipalmore

regionals

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CopyrightbyPuck,usedunderCCAttribution License2.5

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Ididremovethestandarddeviants.

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CirculationsinDataSet

45,629,855Circulations

0

20000

40000

60000

80000

100000

120000

140000

160000

180000

Jun-09

Aug-09

Oct-09

Dec-09

Feb-10

Apr-1

0

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Aug-10

Oct-10

Dec-10

Feb-11

Apr-1

1

Jun-11

Aug-11

Oct-11

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Apr-1

2

Jun-12

Aug-12

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Apr-1

3

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Feb-14

Apr-1

4

Jun-14

Aug-14

Oct-14

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Feb-15

Apr-1

5

Jun-15

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HoldsinDataSet

3,526,910holds

0

2000

4000

6000

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10000

12000

14000

16000

Jun-09

Aug-09

Oct-09

Dec-09

Feb-10

Apr-1

0

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Feb-11

Apr-1

1

Jun-11

Aug-11

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Apr-1

2

Jun-12

Aug-12

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Apr-1

3

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Aug-13

Oct-13

Dec-13

Feb-14

Apr-1

4

Jun-14

Aug-14

Oct-14

Dec-14

Feb-15

Apr-1

5

Jun-15

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TerminologyofHolds

LocalHolds– withinsystem

ICLs– IntraConsortiaLoans

ILLs– InterLibraryLoans(extraconsortia)

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ICLs2009– 2015AllLibraries

0

10000

20000

30000

40000

50000

60000

2009 2010 2011 2012 2013 2014 2015

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ICLs2009– 2015SmallerLibraries

0

500

1000

1500

2000

2500

3000

3500

4000

4500

1 2 3 4 5 6 7

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Question1

IstherealongtermpatterntoICLs?

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PercentageofHoldsOverTime

0.00

1000.00

2000.00

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4000.00

5000.00

6000.00

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0.00

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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

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Question2

Dolibrarieshaveademandthresholdordoesitscalewithavailablematerials?CanwesaythereisapointthatICLswillmaxout?Wheyeven

askthis?

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StableSample

• SCLENDSLibrariesthathavebeenlivesinceDecember2009

• 9insample• StateLibraryexcludedbecauseIcan’tmeaningfullyapplycriterialikepovertyandpopulationscorestoitwithit’sspecialuserbase

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0.00

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600.00

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

SCLENDSICLsasPercentageswithGoLives

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0

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200

250

300

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400

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

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NCCardinallibrariesdidnothaveasimilargolivepattern.Itwas16monthsfortheirfirstnine

systemstogolive.Alternativelytheyhad4librariesgoliveinsixmonth.Icouldhave

chosenthefirstsinglegolivebutthatwouldhaveahighvariance.Isplitthedifferencebychoosingthefirst7libraries,whichwentlive

over10months.

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0.00

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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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0.00

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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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0.00

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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

PercentagesofHoldsMonthtoMonth

SCLENDS NCCardinal

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0

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600

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1 2 3 4 5 6 7 8 9 1011121314151617181920212223242526272829303132333435363738394041424344454647484950515253545556575859606162636465666768697071727374

GrowthofICLsofEarlyLibraries

SCLENDS NCCardinal

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Resultisthatconsortiamagnifythedepthofcollectionsandhaveasignificantimpactbutitisinconclusiveifthereisapredictablesaturationpoint.SCdatasuggestsasaturationpointmet

whileNCdatadoesnot.

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Isthereapopulationdifferencethatwouldexplainthesediscrepancies?

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Population

58,192

101,374

mean

range

112,618

230468

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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

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TwoLargeLibraries

Popsof245,346and250,539.

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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

SClargelibrarypercentofholds vsNClargelibrarypercentofholds

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Thistellsusweshouldprobablydigdeepercontrollingforpopulation.

Smalllibrarieshavegreaterpotentialforvariationbutherewesawitwiththelarge

libraries.

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Inothervariables…

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IndexMundi’s2009-2013indexofpopulationbelowpovertyindex

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Itwouldbecriticalthatweadditionallycontrolforpatron,itemandbibliographicleveldatato

betteranswerthesequestions.

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Addingon…ifIcan

FromCirc andHoldsreports:PatronID,ItemID

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

SCLENDS,NCCardinal,GAPINES

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