What is a data-driven Academic Library?

What is a data-driven Academic Library?

Data Driven – What does that mean?

“Data driven means that progress in an activity is compelled by

data, rather than by intuition of personal experience.”

(Wikipedia)

XKCD: HTTP://IMGS.XKCD.COM/COMICS/BOYFRIEND.PNG

Process for Data Driven Organizations

Question Plan Collect Analyze Recommend

Identify your question

Who is using the library?

Develop a plan – Part 1

Refine the question

• Who is coming to the library? Space • Who is checking out books? ILS • Who is using electronic resources?

Web

Develop a plan – Part 2

Look for data sources

• Space: turnstile data, head-counts, room reservation systems

• ILS: circulation reports • Web: web analytics, link resolver data,

vendor usage reports

Library Data Sources

Systems

Collections, Acquisitions

Financials

Circulation

E-resources

Resource Sharing

Web Analytics

Gate Counts

Workflow

Reference

Bibliographic Instruction

Cataloging/Metadata

Preservation

Patron Input

Patron Surveys

Focus Groups

Social Media Analytics

Collect Data If the data exists in a system, retrieve it in

analyzable format.

If the data doesn’t exist, begin to collect the data.

Derive Insights

• Analyze and visualize

• Slice and dice the data in a variety of ways

XKCD: HTTP://IMGS.XKCD.COM/COMICS/CORRELATION.PNG

Circulation by Patron Group

0

10,000

20,000

30,000

40,000

50,000

60,000

70,000

80,000

90,000

100,000

110,000

10,479

27,565 35,548 37,269

44,359 38,505

30,810 42,534

-12%

FY14

29,715

12,315

FY13

76,737

34,048

37,307

FY12

87,585

37,118

FY11

91,359

39,751

FY10

102,793

42,604

FY09

99,457

39,895

FY08

89,641

35,221

FY07

76,936

31,644

FY06

85,089

33,070 Graduate Faculty Staff Other Carrel Resource Sharing

Undergraduate

Report run date: 11/25/2013

Circulation by Patron Group (%)

39% 41% 39% 40% 41% 44% 42%44% 41%

10% 10% 8% 8% 7% 7% 7% 9%9%

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

FY09 FY07 FY08 FY10 FY11 FY12 FY13 FY14 FY06

35% 36% 41% 41% 43% 43% 43% 40% 44%

Resource Sharing Carrel Other Staff Faculty Graduate Undergraduate

Report run date: 11/25/2013

Circulation - Undergraduates

0

5,000

10,000

15,000

20,000

25,000

30,000

35,000

40,000

45,000

FY12

35,548

FY11

-22%

FY14

10,479

FY13

27,565

FY07

30,810

FY06

37,307

FY09

42,534

FY08

38,505 37,269

FY10

44,359

3,534

24,805

13,700

18,692

12,118

18,489

9,076

22,773

14,534

23,382

12,166

24,504

12,765

29,413

14,946

28,348

14,186

6,945

Undergrad - Fresh, Soph, Junior Undergrad - Senior

Report run date: 11/25/2013

Library Circulation: Monthly Charges by Undergraduates - FY2011-FY2014 Comparison

0

500

1,000

1,500

2,000

2,500

3,000

3,500

4,000

4,500

5,000

Jul Aug Sep Oct Nov

-35%

Mar Apr May Jun

-25%

Feb Jan Dec

2013 2014

2012 2011

Recommendations

Use the insights derived from the data to make

actionable recommendations.

XKCD: HTTP://IMGS.XKCD.COM/COMICS/CONVINCING.PNG

Skills

• Data Capture

• Programming & database skills • Business domain knowledge

• Data Analysis

• Spreadsheets • Reporting tools • Statistics

• Presentation

• Visualization • Storytelling

Tools

• Quantitative Analysis

• Spreadsheets: Excel, Google Spreadsheets • Stats Tools: R, SATA, SPSS

• Qualitative Analysis

• ATLAS.ti • Survey Tools

• Qualtrics, Webmonkey, Google Forms • Visualization

• Tableau, Many Eyes

Big Data – Gartner Hype Cycle 2012

Thank You!

Sarah Tudesco Assessment Librarian

Yale University Library

[email protected]

@studesco