Date: 

12/18/2009

Requirement # unique id <SemCon Ops Initiative>.<analysts

initials><requirement

number>

e.g.

Init1dbw1

(eventually linked to Use Cases)

Init6pm23

Originator/Customer's

Name

:

Joel

Saltz

-

forum

post

Originator/Customer's

Company

:

Emory

University

Summary of requirement pre-interview,

by

Reviewer:

A

Brain

Tumor

in

silico

use

case

consists

of

determining

genetic,

gene

expression

and

outcome

correlates

of

high

resolution

nuclear

morphometry

in

the

diffuse

gliomas

and

their

relation

to

MR

features

using

Rembardt

and

TCGA

datasets.

This

involves

integrative

analysis

involving

Pathology,

Radiology

and

molecular

data.

The

following

semantic

infrastructure

requirements

fall

out

of

this

use

case:

• Specific

• scientific

• data

• elements

• will

• be

• shared

• amongst

• collaborators,

• requiring

• the

• need

• for

• a

• way

• to

• semantically

• describe

• the

• data.

• However,

• through

• the

• course

• of

• the

• study,

• new

• data

• elements

• will

• be

• added

• and

• some

• data

• elements

• may

• change.

• Therefore,

• there

• is

• a

• need

• for

• an

• agile

• modeling

• approach

• that

• does

• not

• require

• significant

• effort

• to

• modify

• the

• information

• model

• and

• register

• the

• semantic

• metadata.

• This

• will

• greatly

• facilitate

• the

• job

• of

• the

• Information

• Modeler.

• Data

• elements

• are

• generated

• using

• specific

• algorithms.

• There

• needs

• to

• be

• a

• way

• to

• model

• the

• features

• of

• the

• algorithm

• itself

• and

• tie

• it

• back

• to

• the

• original

• data.

•   One

• of

• the

• features

• of

• the

• algorithm

• could

• be

• the

• code

• of

• the

• algorithm

• itself.

• It

• would

• be

• ideal

• if

• this

• type

• of

• model

• could

• be

• generalized

• for

• use

• in

• the

• caBIG

• analytical

• community

• so

• that

• Software

• Engineers

• can

• reuse

• it

• and

• Cancer

• Researchers

• have

• access

• to

• this

• data.

• The

• scientific

• data

• elements

• themselves

• will

• describe

• not

• only

• the

• statistical

• results,

• but

• the

• scientific

• methodology

• used

• on

• the

• specimens.

•   In

• some

• sense,

• this

• combines

• the

• study

• design

• with

• the

• results.

• The

• ultimate

• result

• of

• the

• scientific

• use

• case

• is

• to

• design

• a

• classifier

• that

• predicts

• outcome.

• It

• will

• be

• necessary

• to

• describe

• the

• classifier,

• as

• well

• as

• have

• that

• description

• link

• back

• to

• the

• data

• that

• is

• used

• to

• generate

• it.

• In

• other

• words,

• the

• provenance

• of

• the

• data

• must

• be

• captured

• so

• that

• Cancer

• Researchers

• have

• access

• to

• this

• information.

• A

• common

• model

• would

• facilitate

• development

• of

• systems

• by

• Software

• Engineers.

Recommended Next Step Enter one: Follow-up

interview,

Observe,

Use

Case

Template

(text),

Use

Case

Model

(formalized/UML

diagram),

Group

Discussion,

Prototype,

Waiting

Room

1. Use

1. Case

1. Template

2. Followup Interview