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Page 1: Evaluating the Big Deal: Usage Statistics for Decision Making

Evaluating the Big Deal: What metrics matter?

Usage Statistics for Decision MakingLondon, 2 February 2012

Selena KillickLibrary Quality Officer

Page 2: Evaluating the Big Deal: Usage Statistics for Decision Making

Introduction

• Institutional, financial and strategic context

• Evaluating the Big Deals

• Quantitative Reporting

• Qualitative Measures

• Using the Results

• Conclusions

Page 3: Evaluating the Big Deal: Usage Statistics for Decision Making

Cranfield University

• The UK's only wholly postgraduate university focused

on science, technology, engineering and

management

• One of the UK's top five research intensive

universities

• Annual turnover £150m

• 40% of our students study whilst in employment

• We deliver the UK Ministry of Defence's largest

educational contract

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Key Drivers

• Financial realities

• Demonstrating value for money

• Strategic alignment

• Research Excellence Framework (REF)

• Income

• ReputationMissioncritical

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Expenditure on Journals

2006-07 2007-08 2008-09 2009-10

Journal Spend

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Information Expenditure by Format 2010-11

Books4%

eBooks4%

Journals68%

Databases24%

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Information Expenditure by Format 2010-11

Books4%

eBooks4%

Journals31%

Big Deals37%

Databases24%

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Evaluating the‘Big Deals’

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Previous Techniques Used:

Annual journals review using the follow data

• Circulation figures – issues and renewals

• “Sweep survey” to capture in-house use

• Journal contents page requests

• Download figures

• Journal prices v the cost of ILL requests

More recent focus on “cost per download”

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New Approach

Quantitative:• Size

• Usage

• Coverage

• Value for Money

Qualitative:• Academic Liaison

• Reading Lists Review

• REF Preferred

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Requirements

• Systematic

• Sustainable

• Internal benchmarking

• Elevator pitch

• So what?

• Enable informed decision making

• Demonstrate smart procurement

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Quantitative Reporting

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Brought to you by the letters…

&

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Our Approach

• What has everyone else done?

• Analysing Publisher Deals Project

• Storage centre

• Excel training

• Template design

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Basic Metrics

• Number of titles within a package

• Total annual full-text downloads

• Cost:

• Core titles

• e-Access Fee

• Total costs

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Value Metrics

• Average number of requests per title

• Average cost per title

• Total cost as % of information provision expenditure

• Cost per full-text download

• Average download per FTE student/staff/total

• Average cost per FTE student/staff/total

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The Long Tail

Do

wn

loa

ds

Titles Titles Titles

Long Tail Short Tail No Tail

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Subscribed Titles

• Reviewing performance of core collection

• REF Preferred?

• Popular?

• Three year trends in cost / downloads / CPD

• Cost / Downloads / CPD categorised:• Zero

• Low

• Medium

• High

• Cancel?

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Popular Titles

• Which titles are the most popular?

• Top 30 titles in the package

• Three year trends in downloads

• REF Preferred?

• Subscribed title?

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Considerations

• When to measure from/to?• calendar, financial/academic, or contract year?

• Which titles make up our core collection?

• Do we have access to all of the „zero use‟ titles?

• What constitutes Low/Medium/High?

• What about the aggregator usage statistics?

• Do we trust the usage statistics?

• What is the size of the target population?

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Capturing the data

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Downloading Statistics

• Get organised

• Gather your usernames and passwords

• Create local files to save and store usage reports

• Software now on the market to manage this for you

• Joint Usage Statistics Portal

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Introductory

Workshop

April 18

Birmingham

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Reporting Period

• Calendar, financial/academic, or contract year?

• COUNTER Reports = Calendar year

• Converted using Vlookup on ISSNs

• Manual

• Problematic

• Automatically converted using the JUSP

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Aggregator Usage Statistics

• Combining usage from publishers and aggregators at a

title level

• Combined using Pivot Tables

• Manual

• Problematic

• Where possible combined using JUSP

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Analysing the data

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Excel Template

• Two main data sources:

• COUNTER JR1

• Subscription agent financial report

• Automated as much as possible

• Match formulas working with ISSNs to link title price to

usage/holdings

• All calculations are completed automatically when the

data sources are added

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Quantitative Reporting

• Systematic

• Sustainable

• Internal benchmarking

• Elevator pitch

• So what?

• Enable informed decision making

• Demonstrate smart procurement

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Qualitative Measures

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Academic Liaison

• Who‟s using it?

• Why?

• How?

• What will be the impact if we cancel?

• Teaching?

• Research?

• How valuable is it?

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Quantitative on the Qualitative:

Analysis on the five REF Preferred Recommended

Journals Lists:

• Overlapping titles

• Unsubscribed titles

• Financial shortfall

• Current recommended subscribed titles

• Usage data

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Reading List Review

Qualitative analysis on course reading lists:

• What are our academic recommending?

• Where is it published?

• How often is it recommended?

• Are there alternatives?

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Quantitative & Qualitative Reporting

• Systematic

• Sustainable

• Internal benchmarking

• Elevator pitch

• So what?

• Enable informed decision making

• Demonstrate smart procurement

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Using the results

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What they can do:

• Both qualitative and quantitative measures tell the

story of the resource

• Aid decision making

• Justify procurement

• Safeguard budgets…?

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What they can’t do:

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Conclusions

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Closing thoughts

• Is it worth investing in this?

• Qualitative & Quantitative

• Danger of relying on cost-per-download

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Looking Ahead

• Review of all budgets

• All Resources

• Systems

• Staff

• Services

• Demonstrating Value and Impact

• Resources

• Services

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Thank You

Selena KillickCranfield [email protected]: 01793 785561