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18
eHealth Conference 2007 On the Usability of Solutions from the caBIG™ Project in MediGRID Thomas Steinke and Ulrich Sax eHealth Conference 2007 Berlin, April 18 th 2007 04_Steinke_eHealthWeek_070418.pdf 1 / 18
Transcript

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

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