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DID WE MAKE THE RIGHT DECISION?: ILL DATA ANALYSIS AFTER JOURNAL CANCELLATIONSSARAH  G.  PARK,  DEIRDRE  JOHNSON  &    JULIET  KERICO  GRAY

In Today’s PresentationBackground

Data

Analysis

Discussion

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BACKGROUNDTHE  MASSIVE  CUT

SIUE @ a GlanceMaster's Colleges & Universities: Larger Programs

Over 14,000 FTE

103 undergraduate programs 

78 graduate & professional programs

11 doctoral programs 

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BackgroundIncreasing subscription costs

Flat budget

2015 Budget Impasse

FY 04 FY 05 FY 06 FY 07 FY 08 FY 09 FY 10 FY 11 FY 12 FY 13 FY 14 FY 15 FY 16

Material Budgets

(SIUE Fact Book‐ Archives)

Budget Cuts4%, 9%, and 15% cut scenarios◦ Positions

◦ Material budgets◦ Usage data

◦ Cost per article

◦ Inputs from subject librarians

17% cut

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CancellationPrint journals & serials 

Online journals (low use)◦ 118 titles < 50 uses

Dual print and online journal subscriptions

Databases with low usage and high cost per full‐text

In return, the library offered document delivery service to faculty

DATADATA‐ INFORMED  DECISIONS

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Cancelled Journal Titles

A Year Later…In a Collection Management Committee Meeting

How do we know if we made the right decision?◦ Faculty input

◦ Subject librarian input

◦ ILL data

◦ ILL budget

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ILL Data ‐ OverviewList of journal titles whose articles were requested more than 3 times, between 1/1/2015 and 12/31/2015

A list of 127 journal titles including 112 unique journal titles

Why 3 Times?◦ The Tipping Point of Article Purchase: 

Rule of Five

ILL Data (2015)

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Who Requested?Self‐Reported

Patron’s departmental information in the ILL form is optional.

ILL Budget Increased

FY 04 FY 05 FY 06 FY 07 FY 08 FY 09 FY 10 FY 11 FY 12 FY 13 FY 14 FY 15 FY 16

Document Delivery/Interlibrary Loan Budgets

Document Delivery/Interlibrary Loan

(SIUE Fact Book‐ Archives)

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DATA ANALYSISDATA  MUNGING  AND   INTERPRETATION

Data Analysis Process

• Identify

• Collect

Data Gathering

• Extract

• Transform

Data Munging• Query

• Interpret

Output

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Data Gathering

Data Source I(Canceled Journal List)

Data Source II(ILL Data)

Data Source…(Subject Lists)

Data

Data MungingExtract and Transform

Process the raw data to feed into the next steps

“80% of the work a data scientist does is collecting, cleaning and organizing data” (Johnston, 2015)

Activities included ‐◦ Merging Fields

◦ Cleaning Data

◦ Normalizing Text

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Merging Fields

Journal Title Subtitle# of 

Requests

American Association of School Administrators 4

American journal of primatology. 6

American nurse today : official journal of ANA, American Nurses Association.

4

American nurse todayofficial journal of ANA, American Nurses Association.

5

Anesthesiology 4

Anthrozoös. 4

Cleaning DataJournal Name Department

# of Requests

Confinia psychiatrica. 4

Critical care medicine 7

Critical care medicine.  5

Critical care medicine. NURSING 5

Current medicinal chemistry. Pharmaceutical Sciences 6

Current pharmaceutical design. Pharmaceutical Sciences 4

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Normalizing TextUppercase and lowercase

Special characters (&, $, etc.)

Journal Name Department# of 

Requests

Organic and biomolecular chemistry Pharmaceutical Sciences 6

Organic & Biomolecular chemistry Chemistry 14

Organic & biomolecular chemistry. Pharmaceutical Sciences 6

Tools for Data MungingPython

Excel

Excel with Macro (VBScript)

Google Spreadsheet

OpenRefine

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OpenRefine I

OpenRefine ‐ GREL

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OpenRefine – Facet

Text Facet • Eliminate duplicates• Merge rows• 126 ‐> 113

OpenRefine – Geocoding

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SQL QueryTools used◦ MS‐Access

◦ MS‐Excel

Table Join 

SQL Query in ActionSQL Query example ‐◦ SELECT ILLuse.Title, Cancelled2015.Title, ILLuse.Field4FROM ILLuse LEFT JOIN Cancelled2015 ON ILLuse.Title = Cancelled2015.Title;

◦ ;

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Initial Findings I

1 out of 254 cancelled journal titles was requested, approximately 0.39%

Initial Findings II

Including 2016 cancellation ‐2 out of 406 cancelled journal titles were requested, approximately 0.49%

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Subject AnalysisDo our collections meet the needs of users in subject areas?

Departmental information is optional

Compare the journal titles against a subject list◦ OCLC LC – Subject Heading

◦ WorldCat Search API

◦ SCOPUS Journal Title List◦ 34866 Journal Titles

◦ Top Levels and subcategories

SCOPUS Journal Title List

(Scopus, 2016)

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ILL Requests by Journal Subjects

Title Requests

Top level: Top level: Top level: Top level:

OthersLife Sciences

Social Sciences

Physical Sciences

Health Sciences

Organic and biomolecular chemistry 26Life Sciences Physical Sciences

Journal of organometallic chemistry 24Life Sciences Physical Sciences

Critical care medicine 17 Health Sciences

Theodore Roosevelt Association journal 17 Others

Natural areas journal 16 Physical Sciences

Dalton transactions 16 Physical Sciences

Nature reviews Drug discovery 14 Health Sciences

Community college journal of research and practice 13 Social Sciences

Psychological medicine 11 Social Sciences Health Sciences

Journal of Continuing Education in Nursing 11 Health Sciences

Journal of strength and conditioning research 11 Health Sciences

Journal of Apicultural Research 10Life Sciences

116 145 216 225 142

• “Others” is a made‐up category for journals that are not found in SCOPUS

ILL Requests by Subjects

Life Sciences14%

Social Sciences17%

Physical Sciences25%

Health Sciences27%

Others17%

ILL REQUESTS BY SUBJECTS

Life Sciences Social Sciences Physical Sciences Health Sciences Others# of Journals 15 26 31 37 24

# of Requests 116 145 216 225 142% of Requests 13.74% 17.18% 25.59% 26.66% 16.82%

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ILL Fulfilled by States

IL29.74%

Internet8.56%

FL7.05%

MD5.17%

MI4.66%

MO3.55%

NY3.22%

CA2.94%

TX2.65%

PA2.01%

OH1.88%

IN1.69%

OK1.56%Commercial

1.42%WI

1.42%MA

1.40%MN1.35%

VA1.26%

International1.18%

WA1.18%

OR0.97%

NC0.95%WY

0.87%GA

0.85%CO

0.83%LA

0.79%CT

0.76%UT

0.69%IA

0.67%ID

0.62%ME

0.60%VT

0.59%MT

0.57%KS

0.50%NE

0.49%RI

0.49%AL

0.47%

NJ0.44%

SD0.44%

AR0.43%UK

0.40%ND

0.39%KY

0.34%DC

0.30%TN0.29%AK0.24%AZ0.23%NM0.20%MS0.16%MB0.13%SC0.11%NV

0.09%NH

0.07%WV

0.06%DE

0.04%PR

0.03%

Other4.40%

Requests Filled

Interpretation?Greater need for journals in Health Sciences and Physical Sciences?

Most Requested Journals in 2016

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DISCUSSIONDID  WE  MAKE  THE  RIGHT  DECISION?

Did We Make the Right Decision?Yes: Minimal ILL requests for cancelled titles◦ Less than one half of 1%

Faculty perceptions are still a challenge ◦ Highly visible full text databases

◦ Doctoral Program expectations in Health Sciences

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Going Forward with ServiceEnhanced document delivery to faculty and graduate students◦ ILL

◦ NLM

◦ Ingenta or direct to publisher

Mediated and Unmediated purchasing?◦ Get It Now

◦ Alternative to Big Deals

Going Forward with DataIllinois in‐state fulfillment rate vs. out‐of state

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ANY QUESTIONS?

BibliographyElsevier. (2016). Scopus Source List. Retrieved from  https://www.elsevier.com/__data/assets/excel_doc/0015/91122/title_list.xlsx

GREL String Functions. (2016, June 23). Retrieved from https://github.com/OpenRefine/OpenRefine/wiki/GREL‐String‐Functions

Johnston, D. (2015, Aug 5). Let Data Scientists Be Data Mungers. Retrieved from https://www.thoughtworks.com/insights/blog/let‐data‐scientists‐be‐data‐mungers

Southern Illinois University Edwardsville. (2017). About SIUE. Retrieved from http://www.siue.edu/about/

Southern Illinois University Edwardsville. (2017). Fact Book‐ Archives. Retrieved from https://www.siue.edu/inrs/factbook/factbook_archives.shtml

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THANK YOU!

SARAH  G.  PARK

TECHNOLOGY & ENGINEERING LIBRARIAN, GPARK@SIUE .EDU

JULIET  KERICO  GRAY

HEALTH SCIENCES LIBRARIANJKER ICO@SIUE .EDU

DEIRDRE  JOHNSON  

INTERLIBRARY LOAN MANAGER DEI JOHN@SIUE .EDU