eH
ealt
hC
on
fere
nce
20
07
On
th
e U
sab
ilit
y o
f S
olu
tio
ns
fro
mth
e c
aB
IG™
Pro
ject
in
Med
iGR
ID
Thom
as S
tein
kean
d U
lric
h S
ax
eHea
lth
Confe
rence
2007
Ber
lin,
April 18
th2007
04_S
tein
ke_e
Hea
lthW
eek_
0704
18.p
df1
/ 1
8
2Thom
as
Ste
inke
& U
liric
hSax
(st
einke
@zi
b.d
e, u
sax@
med
.uni-
goe
ttin
gen
.de)
The
Ger
man
Med
iGRID
pro
ject
The
U.S
. ca
BIG
™pro
ject
Re-
usi
ng c
aBIG
™te
chnol
ogy
in M
ediG
RID
?
Outlook
Ou
tlin
e
04_S
tein
ke_e
Hea
lthW
eek_
0704
18.p
df2
/ 1
8
3Thom
as
Ste
inke
& U
liric
hSax
(st
einke
@zi
b.d
e, u
sax@
med
.uni-
goe
ttin
gen
.de)
tod
ay:
•dec
entr
aliz
ed d
ata
reposi
tori
es (
Feder
alis
m)
e.g.
glo
bal
acc
essi
ble
res
earc
h d
atab
ases
pla
nned
e.g.
each
sta
te in G
erm
any
oper
ates
its
ow
n m
amm
ogra
m d
atab
ase
•re
sear
ch a
nd m
edic
al ca
re a
re d
isco
nnec
ted
tom
orr
ow
:
•va
st a
mount
of
dat
a
tod
ay:
7
TB
yte
/year
(in a
1000 b
eds
hos
pital
)
tom
orr
ow
: 6
00
0 T
Byte
/year
•lin
king a
cadem
ic a
nd c
linic
al re
searc
h
Ob
ject
ives
of
Med
iGR
ID:
•in
frast
ruct
ure
for
colla
bora
tive
pla
tform
s in
med
ical re
sear
ch
•m
igra
tion o
f pilo
t applic
ations
into
the
Gri
d
•es
tablis
hin
g s
ust
ain
able
oper
atio
nal
str
uct
ure
s fo
r ap
plic
atio
ns
Wh
y U
sin
g G
rid
s in
Med
icin
e -
Exam
ple
: M
ed
ical Im
ag
e A
naly
sis
04_S
tein
ke_e
Hea
lthW
eek_
0704
18.p
df3
/ 1
8
4Thom
as
Ste
inke
& U
liric
hSax
(st
einke
@zi
b.d
e, u
sax@
med
.uni-
goe
ttin
gen
.de)
Use
r/A
pplic
atio
n D
evel
oper
Med
iGri
dA
pplic
atio
ns
Med
iGri
dS
ervi
ces
Dat
a M
anag
emen
t W
orkf
low
M
anag
emen
t(G
WES
)
Res
ourc
en&
Loca
le S
ervi
ces
CLI
Por
tal
Database
Dat
a A
cces
sD
ataf
low
Mon
itor
ing
Job
Man
agem
ent
Met
adat
a M
gmt.
CP
USt
orag
e+A
rch
ive
CP
USt
orag
e+A
rch
ive
Database
prot
ecte
d
Bas
ic G
rid
Ser
vice
sIn
teg
rati
on L
ayer
GLO
BU
S 4
open
Security
Res
ourc
e A
ccou
nti
ng
Res
ourc
eM
anag
emen
t(D
-GR
DL)
Bio
-in
form
atic
sM
ed. I
mag
eP
roce
ssin
g
Med
iGR
ID M
iddl
ewar
e
Bio
med
. O
nto
logi
es
Med
iGR
ID A
ppl
icat
ion
s
Res
ourc
e M
onit
orin
g
OG
SA-D
AI
SRB
Med
iGR
IDS
oft
ware
Arc
hit
ect
ure
VOM
RS
VOM
RS
04_S
tein
ke_e
Hea
lthW
eek_
0704
18.p
df4
/ 1
8
5Thom
as
Ste
inke
& U
liric
hSax
(st
einke
@zi
b.d
e, u
sax@
med
.uni-
goe
ttin
gen
.de)
Data
base
Acc
ess
in
Med
iGR
IDvia
OG
SA
-DA
I
Open
Grid S
ervi
ce A
rchitec
ture
-D
ata
Acc
ess
and I
nte
gra
tion
OG
SA
-DA
I Ser
vice
(s) W
SR
FP
hysi
calL
ayer
: Dat
abas
es
End
use
r dea
ls w
ith q
uery
site
(OG
SA
-DA
U s
ervi
ce) o
nly,
virt
ualiz
atio
n fro
m
phys
ical
sto
rage
loca
tion(
s)
Gen
e O
ntol
ogy
DB
Site
A
NC
I The
saur
us D
BS
ite B
Hum
an D
isea
seD
BS
ite C
QU
ER
Y
“Que
ry H
ub”
04_S
tein
ke_e
Hea
lthW
eek_
0704
18.p
df5
/ 1
8
6Thom
as
Ste
inke
& U
liric
hSax
(st
einke
@zi
b.d
e, u
sax@
med
.uni-
goe
ttin
gen
.de)
caB
IG™
is a
n in
no
vati
ve b
ioin
form
ati
cs
pro
gra
m a
t th
e N
IH’s
Nati
on
al C
an
cer
Inst
itu
te
50 C
ance
r Cen
ters
are
work
ing t
ow
ards
a co
mm
on g
oal
of
inte
gra
ted d
ata
, to
ols
an
d m
ethodolo
gie
s to
acc
eler
ate
cance
r re
sear
ch g
oals
at
the
Nat
ional Can
cer
Inst
itute
for
Bio
info
rmat
ics
(NCIC
B),
the
cance
r Bio
med
ical
Info
rmat
ics
Grid
(caBIG
™)
The
goal of
caBIG
™is
to c
reat
e a
virt
ual
web
of
inte
rconnec
ted d
ata,
indiv
iduals
, and o
rganiz
atio
ns
whic
h w
ill:
redef
ine
how
res
earc
h is
conduct
ed
care
is
pro
vided
pat
ients
/ p
artici
pan
ts inte
ract
with t
he
bio
med
ical
res
earc
h e
nte
rprise
The
pri
nci
ple
s drivi
ng c
aBIG
™ar
e:
Open
Sourc
e
Open
Acc
ess
Open
Dev
elopm
ent
Feder
ated
Model
sourc
e: R
. M
ark
Adam
s, c
aBIG
™
04_S
tein
ke_e
Hea
lthW
eek_
0704
18.p
df6
/ 1
8
7Thom
as
Ste
inke
& U
liric
hSax
(st
einke
@zi
b.d
e, u
sax@
med
.uni-
goe
ttin
gen
.de)
caB
IG w
ill fa
cilit
ate
shar
ing
of in
fras
truc
ture
, ap
plic
atio
ns, a
nd d
ata
acro
ss m
ultip
le c
ance
r re
sear
ch p
rogr
ams
sourc
e: R
. M
ark
Adam
s, c
aBIG
™
04_S
tein
ke_e
Hea
lthW
eek_
0704
18.p
df7
/ 1
8
8Thom
as
Ste
inke
& U
liric
hSax
(st
einke
@zi
b.d
e, u
sax@
med
.uni-
goe
ttin
gen
.de)
…an
d t
he r
eali
zati
on
of
that
go
al
sourc
e: R
. M
ark
Adam
s, c
aBIG
™
04_S
tein
ke_e
Hea
lthW
eek_
0704
18.p
df8
/ 1
8
9Thom
as
Ste
inke
& U
liric
hSax
(st
einke
@zi
b.d
e, u
sax@
med
.uni-
goe
ttin
gen
.de)
Fo
ur
Do
main
Wo
rksp
ace
s an
d t
wo
Cro
ss
Cu
ttin
g W
ork
space
s h
ave b
een
lau
nch
ed
DO
MAI
N W
OR
KSP
AC
E 3
Tiss
ue B
anks
& P
atho
logy
Too
lspr
ovid
es fo
r the
inte
grat
ion,
dev
elop
men
t, an
d im
plem
enta
tion
of ti
ssue
and
pat
holo
gy to
ols.
DO
MAI
N W
OR
KSP
AC
E 2
Inte
grat
ive
Can
cer R
esea
rch
prov
ides
tool
s an
d sy
stem
s to
ena
ble
inte
grat
ion
and
shar
ing
of in
form
atio
n.
DO
MAI
N W
OR
KSP
AC
E 1
Clin
ical
Tria
l Man
agem
ent S
yste
ms
addr
esse
s th
e ne
ed fo
r con
sist
ent,
open
and
co
mpr
ehen
sive
tool
s fo
r clin
ical
tria
ls
man
agem
ent.
CR
OSS
CU
TTIN
G W
OR
KSP
AC
E 2
Arc
hite
ctur
e
deve
lopi
ng a
rchi
tect
ural
sta
ndar
ds a
nd a
rchi
tect
ure
nece
ssar
y fo
r oth
er w
orks
pace
s.
CR
OSS
CU
TTIN
G W
OR
KSP
AC
E 1
Voca
bula
ries
& C
omm
on
Dat
a El
emen
ts
resp
onsi
ble
for e
valu
atin
g, d
evel
opin
g, a
nd in
tegr
atin
g sy
stem
s fo
r voc
abul
ary
and
onto
logy
con
tent
, st
anda
rds,
and
sof
twar
e sy
stem
s fo
r con
tent
del
iver
y
DO
MAI
N W
OR
KSP
AC
E 4
Imag
ing
prov
ides
for t
he s
harin
g an
d an
alys
is o
f in
vivo
im
agin
g da
ta.
sourc
e: R
. M
ark
Adam
s, c
aBIG
™
04_S
tein
ke_e
Hea
lthW
eek_
0704
18.p
df9
/ 1
8
10
Thom
as
Ste
inke
& U
liric
hSax
(st
einke
@zi
b.d
e, u
sax@
med
.uni-
goe
ttin
gen
.de)
caG
rid
Meta
data
In
frast
ruct
ure
Go
als
Support
str
ongly
typ
edgrid
•Syn
tact
ic a
nd S
eman
tic
inte
roper
abili
tyP
rog
ram
mati
c!
•Sm
ooth
tra
nsi
tion f
rom
Applic
atio
n t
o G
rid a
nd
bac
k
Leve
rage
wea
lth o
f ex
isting m
etad
ata
Enab
le s
ervi
ce A
dve
rtis
emen
t an
d D
isco
very
sourc
e: S
cott
Ost
er,
caBIG
™
04_S
tein
ke_e
Hea
lthW
eek_
0704
18.p
df10
/ 1
8
11
Thom
as
Ste
inke
& U
liric
hSax
(st
einke
@zi
b.d
e, u
sax@
med
.uni-
goe
ttin
gen
.de)
caG
rid
Data
Desc
rip
tio
n I
nfr
ast
ruct
ure
•C
lien
t an
d s
erv
ice A
PIs
are
obje
ct o
rien
ted,
and o
per
ate
ove
r w
ell-
def
ined
and c
ura
ted
d
ata
typ
es
•O
bje
cts
are
defi
ned
in
UM
Lan
d c
onve
rted
into
ISO
/IEC
11179 A
dm
inis
tere
d
Com
ponen
ts,
whic
h a
re in t
urn
re
gis
tere
d in t
he
Cance
r D
ata
Sta
ndar
ds
Rep
osi
tory
(ca
DSR
)
•O
bje
ct d
efi
nit
ion
s d
raw
fro
m
con
tro
lled
term
ino
log
y a
nd
vo
cab
ula
ryre
gis
tere
d in t
he
Ente
rprise
Voca
bula
ry S
ervi
ces
(EVS),
and t
hei
r re
lationsh
ips
are
thus
sem
antica
lly d
escr
ibed
•X
ML s
eri
ali
zati
on
of
ob
ject
sad
her
e to
XM
L sc
hem
as
regis
tere
d in t
he
Glo
bal M
odel
Exc
han
ge
(GM
E)
sourc
e: S
cott
Ost
er,
caBIG
™
04_S
tein
ke_e
Hea
lthW
eek_
0704
18.p
df11
/ 1
8
12
Thom
as
Ste
inke
& U
liric
hSax
(st
einke
@zi
b.d
e, u
sax@
med
.uni-
goe
ttin
gen
.de)
caG
RID
Tech
no
log
y S
tan
dard
s
WSRF
Ser
vice
Lay
er
Com
mon S
ervi
ce M
etad
ata
•Pr
ovi
ded
by
all se
rvic
es
•D
etai
ls s
ervi
ce’s
cap
abili
ties
, oper
atio
ns,
conta
ct info
rmat
ion,
host
ing r
esea
rch c
ente
r
•Ser
vice
oper
atio
n’s
inputs
and o
utp
uts
def
ined
in t
erm
s of
stru
cture
and s
eman
tics
Dat
a Ser
vice
Met
adat
a
•Pr
ovi
ded
by
all dat
a se
rvic
es
•D
escr
ibes
the
Dom
ain M
odel
bei
ng e
xpose
d,
in t
erm
s of
a U
ML
model
lin
ked t
o s
eman
tics
•Pr
ovi
des
info
rmat
ion n
eeded
to f
orm
ula
te t
he
Obje
ct-O
rien
ted
Quer
y
Ser
vice
Sec
urity
Met
adat
a
04_S
tein
ke_e
Hea
lthW
eek_
0704
18.p
df12
/ 1
8
13
Thom
as
Ste
inke
& U
liric
hSax
(st
einke
@zi
b.d
e, u
sax@
med
.uni-
goe
ttin
gen
.de)
caG
rid
Pro
du
ctio
n E
nvir
on
men
t sourc
e: S
cott
Ost
er,
caBIG
™
04_S
tein
ke_e
Hea
lthW
eek_
0704
18.p
df13
/ 1
8
14
Thom
as
Ste
inke
& U
liric
hSax
(st
einke
@zi
b.d
e, u
sax@
med
.uni-
goe
ttin
gen
.de)
Th
e N
eed
fo
r In
tero
pera
bil
ity
solv
ing c
omple
x pro
ble
ms
requires
the
inte
ract
ion o
f m
any
exper
ts
shar
ing o
f re
sourc
es,
dat
a, k
now
ledge
at a
glo
bal
sca
le w
orld-w
ide
dat
a ca
n “
trav
el”
much
eas
ier
around t
he
glo
be
than h
um
an b
eings
stan
dard
s, s
tan
dard
s, …
04_S
tein
ke_e
Hea
lthW
eek_
0704
18.p
df14
/ 1
8
15
Thom
as
Ste
inke
& U
liric
hSax
(st
einke
@zi
b.d
e, u
sax@
med
.uni-
goe
ttin
gen
.de)
Mid
dle
ware
Sta
nd
ard
s in
Med
iGR
ID
WSRF
& W
3C s
tandar
ds:
•G
rid M
iddle
war
e Ser
vice
s: G
lobus
TK 4
(G
lobus
Alli
ance
)
•D
ata
Virtu
aliz
atio
n:
OG
SA-D
AI
(UK e
Sci
ence
)
•X.5
09 C
ertifica
tes
•U
ser
Port
al /
Port
lets
: JS
R168 (
Gri
dSpher
epro
ject
)
Com
munity
& d
e-fa
ctor
stan
dar
ds:
•D
ata
Vir
tual
izat
ion:
SRB (
SD
SC)
•W
ork
flow
s: G
rid W
ork
flow
Des
crip
tion L
anguag
e (F
hG
)
04_S
tein
ke_e
Hea
lthW
eek_
0704
18.p
df15
/ 1
8
16
Thom
as
Ste
inke
& U
liric
hSax
(st
einke
@zi
b.d
e, u
sax@
med
.uni-
goe
ttin
gen
.de)
Th
eB
est
of
caB
IG™
-O
ur
Pers
pect
ive
„bott
om
-up“
appro
ach
strict
cer
tifica
tion
com
pat
ible
guid
e
04_S
tein
ke_e
Hea
lthW
eek_
0704
18.p
df16
/ 1
8
17
Thom
as
Ste
inke
& U
liric
hSax
(st
einke
@zi
b.d
e, u
sax@
med
.uni-
goe
ttin
gen
.de)
Co
mp
ati
bilit
y M
atc
h M
ed
iGR
ID–
caB
IG™
Com
mon t
echnolo
gie
s:
•G
rid M
W:
Glo
bus
•D
atab
ase
virt
ual
izat
ion:
OG
SA-D
AI
Chal
lenges
for
Med
iGRID
:
•O
nto
logy:
infr
astr
uct
ure
to s
upport
of
stro
ngly
typ
ed d
ata
obje
cts
at a
ll le
vels
(se
rvic
es,
use
r dat
a, …
)
•Sec
uri
ty infr
astr
uct
ure
:
centr
aliz
ed (
D-G
rid)
vs.
feder
ated
Gri
d T
rust
Ser
vice
(G
TS)
•W
ork
flow
s: B
PEL
vs.
GW
DL
04_S
tein
ke_e
Hea
lthW
eek_
0704
18.p
df17
/ 1
8
18
Thom
as
Ste
inke
& U
liric
hSax
(st
einke
@zi
b.d
e, u
sax@
med
.uni-
goe
ttin
gen
.de)
Qu
est
ion
s?
More
Med
iGRID
Info
rmation a
t:
htt
p:/
/ww
w.m
edig
rid.d
e/
Med
iGR
IDR
ela
ted
Talk
s @
eH
ealt
h
Inte
roper
abili
ty in G
rid C
om
puting
Inte
gra
ting P
ort
als
for
Colla
bora
tori
esan
d G
rid S
ervi
ces
Onto
logy
Applic
ations
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