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Data-Informed Decision Making for Digital Resources Christine Madsen + Megan Hurst Athenaeum21 Electronic Resource & Libraries Conference Austin, TX | April 2016

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Page 1: Data-Informed Decision Making for Libraries - Athenaeum21

Data-Informed Decision Making

for Digital ResourcesChristine Madsen + Megan Hurst

Athenaeum21

Electronic Resource & Libraries ConferenceAustin, TX | April 2016

Page 2: Data-Informed Decision Making for Libraries - Athenaeum21

Library Assessment & Evaluation ProgramsPast, Present, Future● 3 case studies of assessment and evaluation programs in libraries● 3 different modes of data gathering and analysis● show the power of understanding user needs and how well your

organization is meeting them.

Page 3: Data-Informed Decision Making for Libraries - Athenaeum21

Agenda

1. Introduction (5 min)

2. Harvard University Library, Open Collections Program (10 min)

3. Resource Discovery @ The University of Oxford (10 min)

4. University of California, Davis, Open Library Assessment Dashboard & Toolkit (10 min)

5. Questions & Discussion (10 min)

Page 4: Data-Informed Decision Making for Libraries - Athenaeum21

Who We AreMegan HurstMLIS, MFA integrated media@MHzUX

Athenaeum21

Christine MadsenMLIS, DPhil (PhD)@mccarthymadsen

Athenaeum21

Expertise

● User experience research and design● Library assessment ● Publishing workflows and models

Work

Harvard, EBSCO, Athenaeum21

Expertise

● Digital library systems ● Digitization (doing it right)● Methods for measuring impact

Work

Harvard, Oxford, Bodleian, Athenaeum21

Page 5: Data-Informed Decision Making for Libraries - Athenaeum21

Setting Goals Is Easy, but Achieving Them Isn't65% of organizations have an agreed-upon strategy.

14% of employees understand the organization’s strategy.

Less than 10% of all organizations successfully execute the strategy.

(source Forbes.com)

Users

Page 6: Data-Informed Decision Making for Libraries - Athenaeum21

Timeline

2002 20172007 2012

2004Harvard University LibraryOpen Collections Program“Outreach and Evaluation” Program initiated

2015 University of Oxford Resource Discovery User Needs Analysis

2008UK JISC TIDSR Toolkit,Developed by Christine Madsen for the Oxford Internet Institute, based on Michalak, Madsen and Hurst’s work for Open Collections Program

2016- 2017 Library Assessment Dashboard & Toolkit, UC Davis w/ The Bodleian Libraries, Goettingen State and University Library

2007iPhone Released

2006 Google Analytics Released

2006 First “Assessment Librarian” position advertised

2007First “UX Librarian” position advertised

2015 Use and Usability Assessment of Digital Libraries Survey, Digital Library Federation

2006 Facebook opened to general public 13+ years old

2017NISO Link Origin

Tracking Best Practices

Page 7: Data-Informed Decision Making for Libraries - Athenaeum21

2002-2007

Harvard University LibraryOpen Collections Program

Page 8: Data-Informed Decision Making for Libraries - Athenaeum21

Open Collections Program, 2002-2007

● Digitization program aimed at making a

selection of Harvard’s primary sources

freely available to high school and

community college students

Page 9: Data-Informed Decision Making for Libraries - Athenaeum21

Open Collections Program, 2002-2007● Two initial goals of the program:

○ Increase the availability and use of historical resources from

Harvard's libraries, archives and museums for teaching, learning,

and research

○ Offer a new model for digital collections that will benefit students

and teachers around the world

Page 10: Data-Informed Decision Making for Libraries - Athenaeum21

Open Collections Program, 2002-2007Three main principles of quality:

● Selection Standards - Create comprehensive, topic-based digital collections by carefully selecting topics, and materials;

● Production Standards - Create digital surrogates that are both faithful to the original publications and of such high quality that there will be no need for re-digitization by other institutions;

● Access Standards - Provide easy online access to digital collections within the Harvard community and around the world.

○ A commitment not just to making the materials freely available online, but to making sure people knew these collections existed.

Page 11: Data-Informed Decision Making for Libraries - Athenaeum21

Open Collections Program, 2002-2007● Context / Climate

○ No “Assessment Librarian” or “User Experience Librarian” positions in libraries

○ Google Analytics did not yet exist

○ Online marketing and conversion analysis was still very young

○ Libraries dominated by a ‘build it and they will come’ approach to digitization

● Motivation for Assessment ○ To measure and increase usage

○ To demonstrate and report progress and impact to funders

Page 12: Data-Informed Decision Making for Libraries - Athenaeum21

Understanding & Prioritizing User Types

Students General Public

Open Web

LibrariansEducators

Target Users

Library Websites

Researchers

Open Collections Website/s

Page 13: Data-Informed Decision Making for Libraries - Athenaeum21

OCP: Tools & Methods for Assessment

1. Web Analytics (pre-Google Analytics)○ Early inlink and referral analysis

○ Homegrown “digital circulation” tracking

2. User Research

○ Task-completion studies

○ Ethnographic and heuristic studies

○ Surveys (undergraduates, educators)

○ Focus Groups

○ Interviews

Page 14: Data-Informed Decision Making for Libraries - Athenaeum21

OCP Tools: Highlight of Quantitative Methods

1. Homegrown “Digital Circulation” Trackinga. Time in book

b. # of pages viewed per book

c. Provided insights into user behaviors inside

digital objects (including multi-page items), and

across collection

Page 15: Data-Informed Decision Making for Libraries - Athenaeum21

OCP Tools: Highlight of “Outreach” Methods1. Early Search Engine Optimization (SEO) efforts

a. Added keywords to collection websites that reflected

open web searches, rather than library subject terms

b. Created web content that would attract open web

searchers in our target audience (before Google

Knowledge Graph existed)

i. Historical events

ii. Historical figures

iii. Historical organizations

c. Enhanced Wikipedia articles with OCP content

Page 16: Data-Informed Decision Making for Libraries - Athenaeum21

Lessons LearnedUse multiple methods, iterate, and triangulate!

● Match assessment methods to research questions● Analyze target audience and usage types to set expectations ● Assessment questions should then flow from your understanding of that audience

Understand the Data

● Repeat visitors (“Converts”) is more important than visits or hits● Inlinks (links to your site from other sites) are important and worth working for● Quality of use is important, because it can tell stories of impact

Page 17: Data-Informed Decision Making for Libraries - Athenaeum21

Outreach &

Evaluation

Program

Begins

Page 18: Data-Informed Decision Making for Libraries - Athenaeum21

Email & Listserv Outreach Campaign

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Faithful Converts: Year-over-YearUnique

visitors who visited

2004 2005

1x 21,292 88,643

2x 2,414 8,015

3x 766 2,449

4x 392 1,107

5x 201 631

>5x 849 3,932

TOTAL 25,914 104,777

Page 20: Data-Informed Decision Making for Libraries - Athenaeum21

Lessons Learned, part 2Assessment helped to:

● Document and illustrate a clear connection between outreach efforts and collection usage

● Guide enhancements to digital services● Tell stories of impact and value

Page 21: Data-Informed Decision Making for Libraries - Athenaeum21

Lessons Learned, part 2

● Outreach & Evaluation Program ○ Cost 2% of project budget

(approx $30,000USD)○ Increased visits by 400% ○ Increased # and % of “ Converts”

(Visitors who visited >5x)

Page 22: Data-Informed Decision Making for Libraries - Athenaeum21

Lessons Learned, part 2

‘Well-marketed’ collections are still more heavily used, many years later, than those that have not been ‘marketed’

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2008-2010

Toolkit for the Impact of Digitised Scholarly Resources

jisc - UK / Oxford Internet Institute

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2015-

Resource Discovery@ The University of Oxford

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● Context / Climate○ 92 Libraries (30 Bodleian; 41 College; 21 Department) 7 museums, 2 gardens○ Some have less than 50% of their collections ‘catalogued’ with electronic

metadata○ No single discovery solution (nor is there likely to be in the near future)

● Motivation for Assessment ○ To understand how Oxford should prioritise resources to maximise users’

discovery of resources across libraries and museums○ To scope new approaches to finding information and collections of relevance

to research and teaching at Oxford

Resource Discovery @ The University of Oxford

Page 27: Data-Informed Decision Making for Libraries - Athenaeum21

Peer Institutions

Users Metadata Experts

Vendors & Publishers

Literature Review

Roadmap

5 Strands of Research

Resource Discovery @ The University of Oxford

Synthesis

Page 28: Data-Informed Decision Making for Libraries - Athenaeum21

Tools & Methods:

● Interviews (in person)● Observational/

ethnographic research ● Think-aloud protocols

Users targeted:

● Undergraduate students● Graduate students● Faculty● Researchers● Staff● Alumni

Resource Discovery @ The University of Oxford

Page 29: Data-Informed Decision Making for Libraries - Athenaeum21

The Future of Finding @ OxfordOutcomes:

● Detailed roadmap for investment in tools and infrastructure

Lessons Learned:

● In depth, ethnographic (qualitative) methods are useful for assessing long term goals and outcomes

● Pattern recognition (that is, being able to ‘code’ your data) is an important part of making using of qualitative methods -- you need to be able to see the patterns

Page 30: Data-Informed Decision Making for Libraries - Athenaeum21

2016-

Open Library Assessment Dashboard & ToolkitUniversity of California, Davis

Page 31: Data-Informed Decision Making for Libraries - Athenaeum21

Setting Goals Is Easy, but Achieving Them Isn't65% of organizations have an agreed-upon strategy.

14% of employees understand the organization’s strategy.

Less than 10% of all organizations successfully execute the strategy.

(source Forbes.com)

Users

Page 32: Data-Informed Decision Making for Libraries - Athenaeum21

Open Library Assessment Dashboard & Toolkit

Context / Climate○ Lots of Assessment Librarians using lots of different tools

○ As many metrics and formulae as there are questions

○ Libraries are getting better at using data

○ Standards for digital content have evolved

Page 33: Data-Informed Decision Making for Libraries - Athenaeum21

Open Library Assessment Dashboard & Toolkit

Motivation for Assessment: ○ How do you give someone the ‘big picture’?

○ How do you deal with data overload?

■ Quality of use and kinds uses■ Online and off■ How much does it really cost?■ What is the impact? - before you can understand impact, you

have to have good data and understand how to use it.○ How do you make assessment useful throughout the organization?

Page 34: Data-Informed Decision Making for Libraries - Athenaeum21

Open Library Assessment Dashboard & Toolkit

The Project1. Research and scoping the work required to develop an open Library

Assessment Dashboard and Toolkit to give library leaders and managers a

single-page overview into all of their library data to better facilitate data-

driven decision making

2. Developing resource and cost estimates for a 2017 kickoff

Page 35: Data-Informed Decision Making for Libraries - Athenaeum21

Open Library Assessment Dashboard & Toolkit

Tools & Methods:

● Create an open, customizable framework of tools, data sources and standard metrics / key performance indicators (KPIs)

Users targeted:

● Senior library managers and directors

Page 37: Data-Informed Decision Making for Libraries - Athenaeum21

Open Library Assessment Dashboard & Toolkit

Strategic(Quarterly to Annual)

Managerial(Daily to Monthly)

Metrics / KPIs Data Sources Metrics / KPIs Data Sources

Service Area 1 Key Management Questions >>Key formulas

Top 3-5 Data Sources Key Management Questions >>Key formulas

Top 3-5 Data Sources

Service Area 2 Key Management Questions >>Key formulas

Top 3-5 Data Sources Key Management Questions >>Key formulas

Top 3-5 Data Sources

etc Key Management Questions >>Key formulas

Top 3-5 Data Sources Key Management Questions >>Key formulas

Top 3-5 Data Sources

… Key Management Questions >>Key formulas

Top 3-5 Data Sources Key Management Questions >>Key formulas

Top 3-5 Data Sources

Page 38: Data-Informed Decision Making for Libraries - Athenaeum21

● Opening hours compared to demand● Availability of required titles● Percentage of rejected sessions● Ratio of requests received to requests sent out

in interlibrary lending● Staff per capita● User satisfaction● Library visits per capita● Seat occupancy rate● Number content units downloaded per capita● Collection use (turnover)

ISO 11620: Library Performance Indicators● Percentage of stock not used● Loans per capita● Percentage of loans to external users● Reference questions per capita● Ratio of acquisitions costs to staff costs● Acquisition speed● Lending speed● Interlibrary loan speed● Percentage of acquisitions expenditure

spent on the electronic collection● And more....

https://www.iso.org/obp/ui/#iso:std:iso:11620:ed-3:v1:en

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● Currently engaged in user needs research with multiple libraries at varying stages of assessment

● Discussion!○ What are you measuring in your library today? ○ What would you like to be measuring?

Open Library Assessment Dashboard & Toolkit

Page 40: Data-Informed Decision Making for Libraries - Athenaeum21

More Information & Assessment Resources● Resource Discovery @ The University of Oxford Final Report, December 2015

● University of California, Davis, Open Library Assessment Dashboard & Toolkit Scoping Project

● Toolkit for the Impact of Digitised Scholarly Resources (TIDSR)

● Surveying the Landscape: Use and Usability Assessment of Digital Libraries. Digital Library Federation (DLF) Assessment Interest Group (AIG) User Studies Working Group White Paper, November 2015

● NISO Link Origin Tracking initiative

Page 41: Data-Informed Decision Making for Libraries - Athenaeum21

Questions? Comments? Please be in touch!

Athenaeum21www.athenaeum21.com

Christine Madsen (UK) [email protected]

@mccarthymadsen

Megan Hurst (US)[email protected]

@MHzUX