metrics of monograph use in the marston science library by michelle foss leonard and stephanie haas...
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Metrics of monograph use in the Marston Science Library by Michelle Foss Leonard and
Stephanie HaasMarston Science Library,
University of Florida
The current study provides an initial assessment of use data associated with the monograph collection at the Marston Science Library (MSL), University of Florida.
These sciences covered in Marston fall within the major Library of Congress Classification schedules of Q, S, and T.
Potential Audiences
Potential Science Monograph Users, 2008-09(n=16,609)
0100020003000400050006000
Agriculture And LifeSciences
Engineering Liberal Arts AndSciences (CLAS)
Colleges
Pop
ulat
ion
# Faculty
Graduate
Undergraduate
Potential Audiences
Potential users in CLAS, 2008-09(n=3,291)
0
200
400
600
800
1000
1200
Ast
rono
my
Bio
/Bot
/Zoo
Che
mst
iry
Geo
logi
cal
Sci
ence
s
Mat
hem
atic
s
Phy
sics
Sta
tistic
s
Departments
Faculty
Graduate
Undergraduate
CirculationCirculated monographs dated from 1817 to 2009, approximately 192 years. When all user populations are totaled, 10,300 items in the Q class circulated, 1,300 in the S class circulated, and 4,000 items in the T class circulated.
2008-09 Circulation by User Group and Publication Date 2009 to 1990
0
100
200
300
400
500
Publication Year
Cir
cula
tion
coun
t
Faculty
Grad
Staff
Undergraduate
Circulation by User Group for subclasses of Q (Science)
Q Class 2008-09 Circulation by User Group and Subclass(n=10,335)
0
200
400
600
800
1000
1200
1400
1600
1800
2000
Q subclasses
Item
s c
ircula
ted Faculty
Graduate
Staff
Undergraduate
Circulation by User Group for subclasses of S (Agriculture)
S Class 2008-09 Circulation by User Group and Subclass (n=1,331)
050
100150200250300350
S subclasses
Item
s ci
rcu
late
d
Faculty
Graduate
Staff
Undergraduate
Circulation by User Group for subclasses of T (Technology)
T Class 2008-09 Circulation by User Group and Subclass(n=3,948)
0
100
200
300
400
500
600
700
800
T subclasses
Item
s c
ircu
late
d Faculty
Graduate
Staff
Undergraduate
Findings from circulation
1. Graduate student borrowing far exceeds borrowing of either faculty or undergraduates, except in fisheries, zoology, and chemical engineering.
2. Borrowing average is less than 1 book per user per year.
3. LC subclasses with the highest circulation activity were identified.
Visualizing circulation metrics using TagCrowd, [http://tagcrowd.com]
Steps in process:
1. Excel spreadsheets containing circulation data by LC class were sorted by Patron status and call numbers.
Example: Plant Culture (SB) monographs borrowed by graduate students (n=311)
SB123 .C43 2002
graduate 31262078241493
Principles and procedures of plant breeding : biotechnological and conventional approaches / G.S. Ch
Boca Raton, Fla. : CRC Press, c2002.
2002
SB123 .D5613 2003
graduate 31262076899243
Genetic diversity of cultivated tropical plants / scientific editors, Perla Hamon ... [et al.].
Enfield, NH : Science Publishers ; France : CIRAD, c2003.
2003
SB123 .E92 2000
graduate 31262084073690
Quantitative genetics and breeding methods : the way ahead : proceedings of the eleventh Meeting of
Paris : Institut national de la recherche agronomique, c2001.
2001
2. Call numbers for circulated items were converted into text files and then parsed to top level subclass
SB106SB106SB107SB108SB110 SB112SB112SB112SB112SB112SB112SB112SB117
SB106.E25 S73 2001SB106.I47 D48 2009SB107.5 .A5SB108.A35 P581 1998SB110 .A37SB112.5 .A321 1992SB112.5 .H35 2002SB112.5 .N55 1997SB112.5 .O94 2002SB112.5 .O95 2006SB112.5 .O965 2007SB112.5 .U53 1998SB117 .K47 2006
The text file of subclasses was uploaded into TagCrowd http://tagcrowd.com and filters chosen.
LC subclass analysis using TagCrowd
1. The TagCrowd is extremely effective in helping to analyze data through visually clustering.
2. Finer granularity can be obtained by extending the call number extensions; however, decimal points must be converted to other characters.
Example QA274.2 must be converted to QA274d2, where d=decimal
QA274.7 (11) = QA273-280 Probabilities. Mathematical statistics Markov processesQA274.5 (7) = QA273-280 Probabilities. Mathematical statistics Martingales (Mathematics)QA274.23 (6 )= QA273-280 Probabilities. Mathematical statistics Stochastic differential equations.
Subject headings vs LC call numbers
QA274.23 [B L D C] Stochastic differential equations. (61) [L D S] Stochastic differential equations--Congresses. (9) [L D S] Stochastic differential equations--Numerical solutions.
(6) [L D S] Langevin equations. (3) [L D S] Stochastic differential equations--Numerical solutions--
Data processing. (2) [L D S] Stochastic difference equations. (1) [L D S]
Source: Classification Web by Library of Congress (online subscription)
Science Monographs Purchased$127,141
Monograph Purchases by Fund, 2008-09n=1,287
050
100150200250300
Purchased monograph circulation
Science monographs purchased and their circulation by LC class, 2008-09
Purchases=1200; Circulations=1281
0
50
100
150
200
250
300
350
400
Q
QA
QB
QC
QD
QE
QH
QK
QL
QM QP
QR S
SB
SD SF
SH T
TA
TC TD
TG TJ
TK
TL
TN
TP
TS
Purchased Circulation of purchases
Print vs e-use for titles[40 titles circulated 43 times;
online usage was 431, or a 100% increase. ]
Print vs e-uses for 40 titles, 2008-2009
050
100
150200250
Q(1)
QA(7)
QC(2)
QD(3)
QE(1)
QH(7)
QK(3)
QL(1)
QP(3)
QR(1)
SB(1)
SD(1)
SH(1)
TA(2)
TJ(4)
TK(2)
LC Classification (# books)
Use
s Print uses
E-uses
Study conclusions concerning monographic use
• Monographic use by patron status has now been verified with graduate students accounting for 58% of the circulations.
• LC classes of greatest interest have been identified: QA, QH, QC, QD, TK, TA, TP, S, SB
• Current purchasing decisions accurately reflect usage
• 41 print titles were also available in electronic copy and online usage was 100% greater. This finding has major implications for futurecollection development decisions.
Theoretically, library functions supported by computers and databases should be quantifiable; however, meaningful data sets require multiple extraction runs, data striping, and recombination.
Extracted data that can assist in collection development strategies is limited to LC classes and/or subject headings. Specificity of LC class appears stronger than subject headings, but future text analysis programs may provide even more accurate subject extraction.
E-book use data is non-standard, frequently not available, and current metadata is incomplete. Libraries need to require that e-book services provide usable title based metrics.
Study conclusions concerning data mining