Library Data Gathering Practices and Analytics

Library Data
Gathering Practices
and Analytics :
Communicating the UPLB Library
Experiences
PAARL 2016 National Summer Conference | Library Analytics : Data Driven
Library Management | April 20-22, 2016 | Pearl Hotel Manila | Mary Ann M. Ingua

Discussion Outline:
1. Background about Data Analytics and Data
2. Current Practices in Collecting Library
Statistics at UPLB Library
3. Data Collection Framework/Model
4. Challenges in Data Collection
5. Recommendation

Library data analytics is simply DATA
MINING
This is a process where one can
easily find many resource materials
where data and numerical figures are
already tallied and presented. Usually,
these data can be found among
research institutions and academic
centers. Data mining is simply using
an already published set of data.

Best uses of Analytics (Booth and Hendrix,
2015)
 what will happen if trends continue
(forecasting)
 what will happen next if you take a
particular action (predictive modelling)
 what is the best solution to a
particular problem (opitimization)

DATA LIFE CYCLE (Goben, Raszewski, 2015)
STAGES QUESTIONS
Identifying What data are available?
What is the current audience for
these data?
What potential future audience exist
for these data?
Is this an isolated data set or could it
be
combined with other sets?
Digitizing Are the data in digital format?
If no, what would it take to digitize the
data?
Are the data in a stable digital format
that can be preserved?

STAGES QUESTIONS
Cleaning How many people have touched or
will touch the data?
What rules have been created to
ensure consistent data
Standardization What tools am I using the standardize
the data?
Describing Is there a README.txt file
outlining the
project?
Is there a standard ontology
applicable
to this data set?
What is information would others
need
continuation … DATA LIFE CYCLE (Goben, Raszewski,
2015)

STAGES QUESTIONS
Storing and Preserving What access is needed to work
with
the data now?
Who needs access now?
What are the best storage options
for the future?
What is the intended duration for
preservation?
Sharing Are there any privacy concerns
about
these data?
Who is the owner of this data set?
How can sharing rights be
maximized
2015)

STAGES QUESTIONS
Analyzing What analysis tools are available?
What are the limitations of the data set?
2015)

CURRENT PRACTICES
IN COLLECTING
STATISTICS AT UPLB
LIBRARY

The iLib System Circulation
Statistics

The iLib System Circulation Statistics
Report

The UPLB Computer Usage Tracking System (UPLib
CUTS)

The UPLB Computer Usage Tracking System (UPLib
CUTS) Login Window

The UPLiB Computer Usage Tracking System Report
Generation

Usage Statistics
Report

The UPLB LIBRARY STATISTICS
LOG SHEETS

EXTERNAL STATISTICS
(SUBSCRIBED E-
RESOURCES)

E-RESOURCES STATISTICS OF DOWNLOADED ARTICLES AND E-
BOOKS
E-Resources Nov-14 Dec-14 Jan-15 Feb-15 Mar-15 Apr-15 May-15 Jun-15 Jul-15 Aug-15 Sep-15 Oct-15
EBSCOhost Article download 5850 4167 3209 13010 11183 7882 8067 3140 3288 4219 6627 5387
EBSCOhost Book chapter download 0 0 0 0 341 2148 841 125 20 173 0 0
Taylor and Francis Article download 1085 608 537 868 1208 806 709 230 466 986 1007 902
CABI - article download 445 206 77 159 466 161 61 165 64 59 287 100
CABI - Book chapter download 0 0 48 28 125 46 37 80 397 93 34 67
Sage Online Journals Article download 42 0 29 0 0 0 0 0 238 150 261 0
Annual Reviews Article download 5 1 0 0 0 0 0 0 0 0 0 0
JSTOR (NiNup.csp) Article download 278 32 34 135 739 229 235 61 53 222 374 0
ACM Digital Library Article download 18 26 5 37 2150 450 407 566 19 49 90 0
AMS Journals Online Article download 4 0 1 5 2 2 6 5 7 7 31 17
ScienceDirect- Journal article download 63203 37092 2063 8977 18915 13266 17195 10168 13108 17459 0 0
ScienceDirect Book chapter download 0 0 63 299 571 217 1045 526 388 202 393 0
Scopus 0 0 1227 1413 0 0 0 0 0 0 0 0
Springer Journal article download 0 0 109 210 156 1042 398 441 568 1184 1377 1562
Springer Book chapter download 0 0 396 1136 77 1352 592 512 140 359 1127 1252

E-RESOURCES STATISTICS OF DOWNLOADED ARTICLES AND EBOOKS
Nov-14
Jan-15
Mar-15
May-15
Jul-15
Sep-15
0
10000
20000
30000
40000
50000
60000
70000
Nov-14
Dec-14
Jan-15
Feb-15
Mar-15
Apr-15
May-15
Jun-15
Jul-15
Aug-15
Sep-15
Oct-15

Research Productivity
Statistics for UP Los
Banos using the SCOPUS

UPLiB User Monitoring System

UPLiB User Monitoring System
Report

ONLINE REFERENCE QUERY
REPORT

ARTICLE REQUEST ONLINE

Feedback from the Suggestion
Box

Computer-
Assisted
Stastistics
DATA COLLECTION
Circulation Statistics
from iLib System
Data from UPLiB CUTS
Data from UPLiB
User Monitoring
Statistics
Log sheet Statistics
Telephone
Email
Feedback online and
offline
DATA
External
Statistics
(Subscribed E-
Resources)
Offline
data
(logsheets)
Send in (email, form
online, feedback (both
online and in suggestion
box)
1 2
3
4

CHALLENGES
 CULTURE
 TALENT
 COST
 DATA

RECOMMENDATION
Email
Request
(Feedback,
Article
Request)
Log sheets
External
Statistics
(Subscribed
E-Resources)
Computer-
Assisted
Statistics
Web
Analytics/Da
shboard for
UPLB
Libraries
Data

MAIN FEATURES OF THE DESIGN OF
THE WEB ANALYTICS/DASHBOARD
 It should allow users to identify and
visualize trends
 It should give users an up-to-date and
dynamic view of data
 It should facilitate the sharing of
information
 DATA

Example of an Existing
Library Dashboard Statistics

References
Booth, H. A., Hendrix D. (2015). Libraries and institutional data analytics :
challenges and opportunities. The Journal of Academic Librarianship, 41,
695-699. http://dx.doi.org/10.1016/j.acalib.2015.08.0010099-1333
Hahn, J., Yu, Jc., Osuchowski, M. (2015). Exploration of data analytics :
potential for enhancing school library programs. Retrieved from
http://www.library.
illinois.edu/committee/exec/innovation_fund/innovation_fund_
proposals/2015-2016/exploration _data_ analytics_ tools_
library_data.html.
Boulden, D. C. (2015). Learning analytics : potential for enhancing
school library programs. (2015). Knowledge Quest, 44(2) Nov/Dec.
Goben, A R. (2015). The data life cycle apploed to our own data. Journal
of Med Lib Assoc ,103 (1) January.

References
Images credits: iLib System, IMA Dashboard, UPLB Library,
Indianapolis Museum of Art Dashboard. Retrieve on April 13, 2016 at http://
dashboard.imamuseum.org/
Recommendations for the design of the Library Analytics Toolkit. Retrieve
on 13 April 2016 from https://osc.hul.harvard.edu/liblabs/sites/default/
default/files/analytics_recommendations.pdf

Library Data Gathering Practices and Analytics

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