Upload
eitan
View
47
Download
0
Tags:
Embed Size (px)
DESCRIPTION
Can You Big Deal E-books? Maybe… OhioLINK’s Initial Experience and Investigations. ICOLC Meeting Poznan, Poland September 30, 2005. Common Objectives: E-Journals and E-Books. Improve the amount of information delivered per monetary unit spent - PowerPoint PPT Presentation
Citation preview
Can You Big Deal E-books?Maybe…
OhioLINK’s Initial Experience and Investigations
ICOLC Meeting
Poznan, Poland
September 30, 2005
Common Objectives:E-Journals and E-Books
• Improve the amount of information delivered per monetary unit spent
• Broad scale group-wide electronic full collection level access with print as a local option
• Buy E and P in strategic combination• Control annual cost growth• Provide for annual economic breathing
room to fit budgetary constraints
Techniques that would be the different
• Journal titles, prices, subscriptions, and spending more predictable…past is a good predictor of the future
• Number of book titles, price, and purchases may vary widely each year…does the past tell us anything about the future? What does group purchase history say to us about aggregate and individual behavior?
• Not likely to go e-only with books • Is technology ready for the investment…do
we get the utility we need from e-books?
Accumulated Book History Data
• Imprint Years 98-03 – M Dekker, L Erlbaum, Kluwer, Oxford, MIT Press, SUNY Press, Wiley family, APA, Gale family, ABC-CLIO
• Imprint year 04 - APA, Gale family, ABC-CLIO
Tit
les
Co
pie
s
C/T U IC CCCombined
1998 5,747 42,753 7.44 1.00 27,307 11,503 3,9431999 5,941 45,512 7.66 1.03 29,359 12,614 3,5392000 6,653 47,663 7.16 0.96 31,870 12,281 3,5122001 6,467 42,575 6.58 0.88 28,568 10,811 3,1962002 6,428 37,751 5.87 0.79 25,564 9,276 2,9112003 6,330 35,730 5.64 0.76 23,981 8,660 3,089
OhioLINK Combined Major BOOK Publishers Change in Activity peak year =100
50
60
70
80
90
100
110
1998 1999 2000 2001 2002 2003
Imprint Year
pe
ak
ye
ar
=1
00
Titles
C/T
Copies
Total Titles Bought - OhioLINK Totals
0
500
1,000
1,500
2,000
2,500
1998 1999 2000 2001 2002 2003 2004
Imprint Year
Tit
les
Bo
ug
ht
OxfordWiley familyKluwerGale familyMIT PressDekkerSUNY PressErlbaumAPAABC-CLIO
Total Copies Bought - OhioLINK Totals
0
5,000
10,000
15,000
20,000
1998 1999 2000 2001 2002 2003 2004
Imprint Year
Co
pie
s B
ou
gh
t
OxfordWiley familyGale familyKluwerMIT PressSUNY PressDekkerErlbaumAPAABC-CLIO
Copies per Title - OhioLINK Totals
0
5
10
15
20
25
30
1998 1999 2000 2001 2002 2003 2004
Imprint Year
Co
pie
s p
er T
itle
ABC-CLIOAPASUNY PressOxfordErlbaumMIT PressWiley familyGale familyDekkerKluwer
Generic Annual Formula• Number of books in annual license (Can
be selected and adjusted to fit budget)• Multiplied by
• Average price per book• Multiplied by
• Agreed to C/T multiplier (varies by publisher-does not need to be static- can be renegotiated)
• Equals annual E-license• Plus
• Optional deep discount print copies
OL and ABC-CLIO Reference Book/e-Book Big Deal Prototype
• 402 titles spanning 4 annual waves
• Loaded on OhioLINK site – perpetual use, no user limits
• Common interface with other e-books/ literature
• Use growing but limited- need critical mass
• Print @ -60%
Year # titles
(not Vols)
Total annual OL e-license
price
Retail price for 1 set
Net C/T M-plier
Back files
44 $ -0- $5.780 0
2001 57 $122,500 $6,124 20.0
2002 69 $184,400 $7,020 26.3
2003 88 $213,800 $8,140 26.3
2004 91 $231,100 $8,800 26.3
2005 53 $210,800 $8,633 24.5
How to divide the cost of an e-book license?
• ABC-CLIO- as pilot used internal group formula (Student population based) plus central funds
• What about based on share of historical purchases? …Like e-journals.
Copies Bought by Lib TypeCombined Publisher Change in Activity
peak year =100
40
50
60
70
80
90
100
110
1998 1999 2000 2001 2002 2003
Imprint Year
pea
k y
ear
=10
0
U
IC
CC
Percentage Share of 1998-2003 Book Purchases
0%
1%
2%
3%
4%
5%
6%
7%
8%
9%
10%
11%
12%
13%
14%O
SU
UC
Mia
mi U
Oh
io U
CO
NS
OR
TO
PA
LC
ase
BG
SU
WS
UU
TK
SU
UA
Ob
erlin
YS
UU
DC
SU
ON
UJC
UC
apit
alC
CC
Xav
ier
UC
edar
ville
Ash
lan
dW
itte
nb
erL
ake
CC
SL
OC
inS
CC
Lo
rain
CC
NW
St
CC
Hir
amO
DU
CS
CC
Ow
ens
CC
Mar
iett
aU
rsu
line
NE
OU
CO
SS
US
incl
air
Ter
ra C
CM
VN
UF
ran
klin
CM
SJ
Ed
iso
n C
CW
SC
CC
lark
St
Cen
tral
MC
OS
SC
CC
RL
Bel
mo
nt
C C
linic
CB
CJe
ff C
CN
Dam
eH
ock
ing
Mye
rs U
RG
CC
+1 Std Dev
6 year average
-1 Std Dev
Percentage Share of 1998-2003 Book PurchasesWiley Only ~1500+ titles per year
0%
1%
2%
3%
4%
5%
6%
7%
8%
9%
10%
11%
12%
13%
14%
15%U
CO
SU
Mia
mi
UW
SU
BG
SU
Oh
io U
OP
AL
Cas
eU
AK
SU
UT
CO
NS
OR
TU
DC
SU
JCU
ON
UO
ber
lin
SL
OX
avie
r U
Cin
SC
CC
edar
vill
eY
SU
Sin
clai
rA
shla
nd
Ow
ens
CC
Cap
ital
CC
CF
ran
klin
Ter
ra C
CL
ora
in C
CN
W S
t C
CW
itte
nb
erL
ake
CC
SS
UU
rsu
lin
eH
iram
Ed
iso
n C
CN
EO
UC
OM
arie
tta
MV
NU
OD
UB
elm
on
tC
SC
CC
entr
alC
lark
St
SS
CC
Jeff
CC
MC
OC
MS
JM
yers
UC
BC
C C
lin
icW
SC
CR
G C
CH
ock
ing
N D
ame
CR
L
+1 Std Dev
6 year average
-1 Std Dev
Percentage Share of 1998-2003 Book PurchasesSUNY Press Only ~ 200 titles per year
0%
1%
2%
3%
4%
5%
6%
7%
8%
9%
10%
11%O
SU
UC
Mia
mi
UO
hio
UC
ON
SO
RT
OP
AL
Cas
eB
GS
UW
SU
UT
KS
UU
AO
ber
lin
YS
UU
DC
SU
ON
UJC
UC
apit
alC
CC
Xav
ier
UC
edar
vill
eA
shla
nd
Wit
ten
ber
Lak
e C
CS
LO
Cin
SC
CL
ora
in C
CN
W S
t C
CH
iram
OD
UC
SC
CO
wen
s C
CM
arie
tta
Urs
uli
ne
NE
OU
CO
SS
US
incl
air
Ter
ra C
CM
VN
UF
ran
klin
CM
SJ
Ed
iso
n C
CW
SC
CC
lark
St
Cen
tral
MC
OS
SC
CC
RL
Bel
mo
nt
C C
lin
icC
BC
Jeff
CC
N D
ame
Ho
ckin
gM
yers
UR
G C
C
+1 Std Dev
6 year average
-1 Std Dev
Percentage Share of 1998-2003 Book PurchasesAPA Only ~ 50 titles per year
0%
1%
2%
3%
4%
5%
6%
7%
8%
9%
10%
11%
12%
13%O
PA
LO
SU
Mia
mi
UU
CW
SU
CO
NS
OR
TC
ase
Oh
io U
KS
UC
SU
UT
BG
SU
Ob
erli
nU
DU
AX
avie
r U
JCU
Ash
lan
dC
apit
alO
NU
Ced
arvi
lle
Urs
uli
ne
Mar
iett
aW
itte
nb
erS
SU
Hir
amO
wen
s C
CS
LO
Lo
rain
CC
CS
CC
OD
UL
ake
CC
MV
NU
NE
OU
CO
CM
SJ
CB
CC
CC
Ter
ra C
CY
SU
Cen
tral
Fra
nkl
inJe
ff C
CS
SC
CN
W S
t C
CC
lark
St
MC
OR
G C
CC
inS
CC
WS
CC
Bel
mo
nt
C C
lin
icN
Dam
eC
RL
Mye
rs U
Ed
iso
n C
CH
ock
ing
Sin
clai
r
+1 Std Dev
6 year average
-1 Std Dev
Work in Progress Observations• Create parallel $$ based analysis with each
publisher. Determine specific formula for each
• Larger the publisher pool the more history can be used
• Central funds maybe be key to sweeten the pot for libraries – reduce standard deviation and reduced flexibility
• Central funds maybe be key to sweeten the pot for publishers – provide the extra needed to leverage access to all