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CAUL-Industry Think Tank Intra-consortium cost allocation: CAUL-SCIP model  : 

CAUL-Industry Think Tank Intra-consortium cost allocation: CAUL-SCIP model Alex Byrne University of Technology, Sydney

SCIP National Site Licence Working Group Criteria : 

SCIP National Site Licence Working Group Criteria Transparency Inclusiveness Fairness Predictability Sustainability

Transparency: 

Transparency The data used in the cost allocation model should be drawn from verifiable sources such as DEST data CAUL/AARL statistics The formula should be easily comprehensible

Inclusiveness: 

Inclusiveness The cost allocations determined by the formula should enable the participation of any interested member of the consortium Institutional characteristics such as size, location, distribution of campuses should not inhibit participation

Fairness : 

Fairness The formula should apply relevant criteria which reflect the value or potential value of the resource to each participant eg For research To coursework students

Predictability: 

Predictability Large variations in cost allocation from year to year should be avoided and hence … Data used should not be volatile

Sustainability: 

Sustainability The formula should be robust so that the consortium will be unlikely to collapse if prices rise or a few members leave

Possible criteria: 

Possible criteria Student numbers Research student numbers Research student completions Student ethnic diversity Equity measures Staff numbers Total university income Research income Size of collection Current subscriptions Library budget Number of branches Number of ILLs supplied/requested University Librarian’s discretion Vice-Chancellor’s humility Publishers’ philanthropy

Modifications and adjustments: 

Modifications and adjustments To include or exclude print For prior subscription For different packages To apply credits To not exceed previous expenditure To apply maxima or minima

Formulae - characteristics: 

Formulae - characteristics Weighted Flag fall or threshold Capped Banded Equal number in each band By category of library (eg Go8, ATN, Go5) At break points in the data

An example: 

An example Ten university libraries: Innisfail UT Falls Creek U U Gibraltar U Carcoar U Bega U Ardrossan U Edith Falls Dalby U Jerilderee UT U Herberton Three elements: Vice-Chancellors' Humility Index (HIV) University Librarians' Silent Thoughts (LUST) Publishers' Charity (PC) Three formulae: Model X: 1/2 LUST and 1/2 HIV Model Y: 1/3 LUST and 1/3 PC and 1/3 HIV Model Z: 1/2 LUST and 1/4 HIV and 1/4 PC

LUST, HIV and PC: 

LUST, HIV and PC

LUST, HIV and PC: 

LUST, HIV and PC

SCIP modelling: 

SCIP modelling Forty universities (including ADFA & Notre Dame) Four elements: RQ Recalculated % for 2000 % Total tertiary Students % Total research population % Total library resources budget Five formulae: Model A: 1/2 RQ and 1/2 eftsu Model B: 1/3 RQ and 1/3 eftsu and 1/3 resources budget Model C: 1/4 RQ and 1/4 research pop 1/4 eftsu and 1/4 resources budget Model D: 1/3 RQ and 1/3 eftsu and 1/3 research pop Model E: 1/2 RQ and 1/4 eftsu and 1/4 resources budget

SCIP – sorted by Model DModel D: 1/3 RQ and 1/3 eftsu and 1/3 research pop: 

SCIP – sorted by Model D Model D: 1/3 RQ and 1/3 eftsu and 1/3 research pop

SCIP –Model D – first quartile: 

SCIP –Model D – first quartile University of Melbourne University of Sydney University of New South Wales University of Queensland Monash University University of Western Australia University of Adelaide RMIT University Queensland University of Technology University of Western Sydney ANU and La Trobe most volatile in this quartile

SCIP –Model D – second quartile: 

SCIP –Model D – second quartile Curtin University of Technology Macquarie University University of Technology, Sydney Griffith University La Trobe University University of South Australia Australian National University University of Newcastle Deakin University Library University of Wollongong RMIT, UWS, UWA and Adelaide can move from this quartile

SCIP –Model D – third quartile: 

SCIP –Model D – third quartile Flinders University of South Australia University of Tasmania Charles Sturt University Victoria University of Technology University of New England Murdoch University Edith Cowan University James Cook University of North Queensland Swinburne University of Technology University of Southern Queensland Flinders, CSU and VUT most volatile in this quartile

SCIP –Model D – fourth quartile: 

SCIP –Model D – fourth quartile Central Queensland University University of Canberra Southern Cross University Australian Catholic University Northern Territory University University of Ballarat Bond University Australian Defence Force Academy University of the Sunshine Coast University of Notre Dame Australia None move from this quartile

SCIP – sorted by Model A: 

SCIP – sorted by Model A

SCIP – sorted by Model A: 

SCIP – sorted by Model A Model A: 1/2 RQ and 1/2 eftsu RMIT, UWA and Adelaide go down CSU and VUT go up

SCIP – sorted by Model B: 

SCIP – sorted by Model B Model B: 1/3 RQ and 1/3 eftsu and 1/3 resources budget RMIT goes down ANU and La Trobe go up

SCIP – sorted by Model C: 

SCIP – sorted by Model C Model C: 1/4 RQ and 1/4 research pop 1/4 eftsu and 1/4 resources budget ANU and La Trobe go up

SCIP – sorted by Model E: 

SCIP – sorted by Model E Model E: 1/2 RQ and 1/4 eftsu and 1/4 resources budget RMIT goes down Flinders, ANU and La Trobe go up

Sensitivity analysis: 

Sensitivity analysis RMIT, ANU, La Trobe are the most sensitive to changes in formulae CSU, VUT, UWA, Flinders and Adelaide are also affected. The smaller (fourth quartile) are unaffected. The largest jockey for position but do not leave the first quartile. Can also analyse capacity to pay ie cost compared to resources budget – rejected by AVCC.

AVCC formula: 

AVCC formula Elements: Share of Actual student load (EFTSU) National total of publications Total higher degree completions National competitive grants Total research income FTE staff Existing spend for 2001

AVCC formula: 

AVCC formula

AVCC formula: 

AVCC formula

AVCC formula - 1st & 2nd quartiles: 

AVCC formula - 1st & 2nd quartiles University of New South Wales The University of Queensland The University of Melbourne The University of Sydney Monash University The University of Western Australia The University of Adelaide The Australian National University La Trobe University Flinders University The University of Newcastle Curtin University of Technology Queensland University of Technology Griffith University Macquarie University RMIT University Wollongong University of Tasmania University of South Australia Western Sydney

AVCC formula - 3rd & 4th quartiles: 

AVCC formula - 3rd & 4th quartiles Uni of Technology, Sydney Murdoch University The University of New England Deakin University James Cook University Victoria University Edith Cowan University Charles Sturt University Swinburne University of Southern Queensland University of Canberra Central Queensland Southern Cross University Northern Territory University Australian Catholic University University of Ballarat Bond University Sunshine Coast

AVCC formula: 

AVCC formula

AVCC formula: 

AVCC formula

What’s best?: 

What’s best? Meets criteria Can test sensitivity Acceptance!!!!!!!!!!!!

Thank you!: 

Thank you!