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Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond Presented by Kerstin Forsberg AstraZeneca R&D, Clinical Information Strategy [email protected] kerfors on Twitter, LinkedIn, SlideShare, Blogspot, citulike 1 Linking Clinical Data Standards

Linking clinical data standards

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Presentation material for the CDISC Interchange Europe 2011, conference in Brussels, for the track "eHR and the World Beyond", 13 April

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Page 1: Linking clinical data standards

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Presented by Kerstin Forsberg

AstraZeneca R&D, Clinical Information Strategy

[email protected]

kerfors on Twitter, LinkedIn, SlideShare, Blogspot, citulike

1

Linking Clinical Data Standards

Page 2: Linking clinical data standards

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Things I want to show you

• Beyond a Web of Documents

Web of Data

• Forerunners

The UK and US Government

• Two things to remember

Triples and Global Identifiers

• Three live examples

From the Linking Open Data cloud

2

Page 3: Linking clinical data standards

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Things for CDISC, and for us in

the industry, to consider

• How this relates to the Innovative Medicine

Initiative (IMI) projects

• Pragmatic first steps for CDISC, together with NCI

Linking Clinical Data Standards

• Opportunities across the industry

Linking Clinical Study Metadata

Linking Clinical Data

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Page 4: Linking clinical data standards

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Acknowledgements

Bosse Andersson, for sharing insights from AstraZeneca’s engagement in

Wayne Kubick, CDISC and Oracle, for good email discussions last summer

Martin Agfjord, Gothenburg University, for the Bachelor Thesis work

Chimezie Ogbuji, Case Western Reserve University's Center for Clinical

Investigation and previously Cleveland Clinics, for the explorative work using

the Patient Controlled Health Records (PCHR) Ontology for Clinical Data

Sam Hume, Simon Lundberg, Dan Ringenbach, Lee Evans,

Gunnar Magnusson for being ”healthy volunteers”

4

Semantic Web Health Care and

Life Sciences (HCLS) Interest Group

Linking Open Drug Data

EU project The Large Knowledge Collider

Linked Life Data

Page 5: Linking clinical data standards

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Web of Data

Web 3.0

Web of Documents

Image Source: Frederic Martin

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Page 6: Linking clinical data standards

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Forerunners:

The UK and US Government

6

Ja

nu

ary

1,

20

09

“Openness will strengthen

our democracy and promote

efficiency and effectiveness

in Government.”

--- President Obama

Putting

Government

Data online

Ma

y 2

1, 2

00

9

Ja

nu

ary

19

, 2

01

0

data.gov.uk online

Ma

y 2

1, 2

01

0

data.gov online data.gov relaunch

6.4 billion RDF triples

Ju

ne

30,2

009

Dece

mb

er

8,

20

09

“Open Government

Directive” released

Illustration by Prof .Jim Hendler

The Semantic Web 2010 Status Update

Page 7: Linking clinical data standards

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Linking Open Data cloud

7

Page 8: Linking clinical data standards

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

What’s a Triple?

subject predicat object

has the color The sky blue

netAmount Payment number 8605670 120.00

enrollment Clinical Trial number NCT00755378 58

populationTotal The Brussels Capital Region 1080790

comment The property netAmount “The net amount of the payment. This is the effective cost to

the payer after any reclaimable tax has been deducted.”

subClassOf The type of entity Active Ingredient Type of entity Chemical Substance

domain The data property populationTotal Type of object Populated Place

An example from a text book

Three example of facts from the Open Linked Data cloud

Three example representing some of the standards for these three facts

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Page 9: Linking clinical data standards

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

And, what’s RDF? And, how is XML

related to this?

subject predicat object

Common Model for Data

Resource Description Framework

Alternative serialization formats

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Page 10: Linking clinical data standards

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

What’s a Global Identifier?

http://spending.lichfielddc.gov.uk/spend/8605670

http://data.linkedct.org/resource/trial/NCT00755378

Three examples of identifiers from the Open Linked Data cloud

Three examples of identifiers used in the standards behind the three examples

http://dbpedia.org/resource/Brussels

Linked Data Principles

1. Use URIs (Uniform Resource Identifiers)

to identify things.

.

2. Use HTTP URIs so that these things can be

referred to and looked up ("dereferenced") by

people and “machines”.

http://reference.data.gov.uk/def/payment#netAmount

http://www.w3.org/2001/sw/hcls/ns/transmed/TMO_0000

http://dbpedia.org/ontology/populationTotal

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Page 11: Linking clinical data standards

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

And, what’s the difference between

URI and URL?

Brussels Capital Region

is a “real world” entity Identified by this URI

http://dbpedia.org/resource/Brussels

Locator (URL) of the “people friendly” view of the

data about the Brussels Capital Region

http://dbpedia.org/page/Brussels

Locator (URL) of the “machine-processeable”

data about the Brussels Capital Region

http://dbpedia.org/data/Brussels.rdf

Linked Data Principles

3. Provide useful, structured,

information about the thing

when its URI is

lock-up:ed (de-referenced).

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Page 12: Linking clinical data standards

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

So, what’s the fourth Linked Data

principle?

Linked Data Principles

4. Include links to other, related

URIs in the exposed data to

improve discovery of other

related information.

http://dbpedia.org/resource/Brussels

http://data.nytimes.com/N78748399240553400231

http://sws.geonames.org/2800866/

owl:sameAs

owl:sameAs

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Page 13: Linking clinical data standards

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Semantic Web standards is a key topic

across the IMI projects

13

Innovative Medicine Initiative

OpenPHACTS

The Open Pharmacological

Concepts Triple Store

DDMoRE

Drug Disease Model

Resources

EHR4CR

Electronic Health Records

for Clinical Research

RICORDO

Researching Interoperability using

Core Reference Datasets and

Ontologies for the Virtual

Physiological Human

Page 14: Linking clinical data standards

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Pragmatic first steps for CDISC,

together with NCI

• Learn from others, such as the UK and US

Government

• Apply the Linked Data principles

Start with the SDTM CT:s e.g. the Trial Summary

Parameters

• Strive for a 5-star rating of Linked Open Data

14

Pragmatic first steps, more details

Page 15: Linking clinical data standards

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Opportunities across the industry

• Applying the four Linked Data principles for

Linking Clinical Study Metadata

Linking Clinical Subject Data

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Page 16: Linking clinical data standards

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Internal

categorization to

support Design &

Interpretation

decisions

A scenario:

Linking Clinical Study Metadata

16

http://clinial.data.astrazeneca.com/id/study/D8180C00011

http://data.linkedct.org/resource/trials/NCT00755378

What would we like to see as the

linked data description of it?

What would we like to see on a

internal webpage

presenting linked data

describing a clinical study?

owl:sameAs

More ideas

Page 17: Linking clinical data standards

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

So, why I'm so enthusiastic about

all of this!

• Well applied Linked Data principles and cautious

steps building on existing insights …

• … would improve the research utility of clinical

datasets

Organized for associations

Prepared for not yet defined use

Ready for automation where computers can

function alongside us to

• Mitigate the complexity in clinical research

• Improve the productivity in clinical data

management

• …

17

Pragmatic first steps More ideas Live examples

Page 18: Linking clinical data standards

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Extras

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Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Three Live Examples

1. Net amount for an expenditure from a local authority in UK

2. Enrollment number for a study from ClinicalTrial.gov

3. Population of Brussels Capital Region from Wikipedia

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2 of 10 Triples 2 of 48 Triples 4 of 992 Triples

Three different approaches to standardization

1 2 3

Pragmatic first steps More ideas

Page 20: Linking clinical data standards

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Expenditure amount for a local

authority in UK

20

1

Page 21: Linking clinical data standards

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Expenditure amount for a local

authority in UK

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Live view using the Web Data Inspector

2 of 10 Triples

1

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Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

An example of a top-down approach to

standardization for Linked Data

22

Live view using the Web Data Inspector

The Linked Data Cube Vocabulary

Page 23: Linking clinical data standards

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

UK government: Top-down approach to

standardization for Spending Data

23

Statistical Data perspective

Linked Data Cube Vocabolary

Payment Ontology

Live example index

Page 24: Linking clinical data standards

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Enrollment number for a study

from ClinicalTrial.gov

24

Semantic Web Health Care

and Life Sciences (HCLS)

Interest Group

Linking Open Drug Data

(Life Science part of the

Linking Open Data cloud)

2

Page 25: Linking clinical data standards

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Enrollment number for a study

from ClinicalTrial.gov

25

2 of 48 Triples

Live view using the Web Data Inspector

2

Semantic Web Health Care

and Life Sciences (HCLS)

Interest Group

Linking Open Drug Data

(Life Science part of the

Linking Open Data cloud)

Page 26: Linking clinical data standards

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

An example of first using the source data

structure as the ”standard” …

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2 of 48 Triples

Live view using the Web Data Inspector

2

Database key Variabel name Table name

Page 27: Linking clinical data standards

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

… and then as a next step look for a

common standard

27

Live view using the Web Data Inspector

Semantic Web Health Care

and Life Sciences (HCLS)

Interest Group

Translational Medicine Ontology

(a.k.a. Pharma Ontology)

Live example index

Page 28: Linking clinical data standards

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Population of Brussels Capital

Region from Wikipedia

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Live view using the Web Data Inspector

3

Page 29: Linking clinical data standards

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Linking between different sources about

the same entity using different identifiers

Live view using the Web Data Inspector

3

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Page 30: Linking clinical data standards

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Bottom-up standardization: Community

curated, and a central shallow Ontology

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http://dbpedia.org/ontology/PopulatedPlace

http://dbpedia.org/ontology/populationTotal

http://dbpedia.org/ontology/populationAsOf

Page 31: Linking clinical data standards

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Pragmatic first steps for CDISC,

together with NCI

• Learn from others, such as the UK and US

Government

• Apply the Linked Data principles

Start with the SDTM CT:s e.g. the Trial Summary

Parameters

• Strive for a 5-star rating of Linked Open Data

31

Page 32: Linking clinical data standards

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Linked Open Data star scheme

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Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Pragmatic first steps

Learn from others, two examples

• AGFA

Clinical drug administration forms mapped to SNOMED

CT and FDA codes using the SKOS (Simple Knowledge

Organization System) vocabulary

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http://www.agfa.com/w3c/2009/drugAdministrationForms#

http://linkedlifedata.com/resource/umls/id/C1879952

http://linkedlifedata.com/resource/umls/id/C0013153

• EU Project – LarKC

• Published CDISC CT:s as part of Linked Life Data

Page 34: Linking clinical data standards

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Pragmatic first steps, start with

Trial Summary Parameters

34

Existing text strings published in a long file in Excel txt format (soon also as ODM/XML) 0

Page 35: Linking clinical data standards

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Pragmatic first steps, start with

Trial Summary Parameters

35

Examples: http://reference.data.cdisc.org/ct/sdtm/ROUTE#ORAL

or alt. using the C-code from NCI Thesaurus http://reference.data.cdisc.org/ct/sdtm/C66729#C38288

Establish a CDISC URI scheme

Proposal: Build on http://data.gov.uk/resources/uris 1

Model CDISC SDTM CT:s as RDF Triples 2

Page 36: Linking clinical data standards

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Pragmatic first steps, start with

Trial Summary Parameters

36

Establish a CDISC URI scheme

Proposal: Build on http://data.gov.uk/resources/uris 1

Model CDISC SDTM CT:s as RDF Triples 2

Publish in RDF/XML 3

Create a so called SPARQL endpoint so that CDISC

standards published as triples can be queried

directly using the RDF query language.

5

De-reference/look-up service so people

and applications can get descriptions of

individual code lists and code.

4

Examples: http://reference.data.cdisc.org/ct/sdtm/ROUTE#ORAL

or alt. using the C-code from NCI Thesaurus http://reference.data.cdisc.org/ct/sdtm/C66729#C38288

Page 37: Linking clinical data standards

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Some thoughts and ideas explored

• Applying the four Linked Data principles

Linking Clinical Study Metadata

• A scenario

• Explore the use of

– BRIDG Domain Model (to be published in OWL/RDF)

– Translational Medicine Ontology - TMO

(a.k.a. Pharma Ontology)

Linking Clinical Data

• Best practice for URI scheme and minting URI:s

• Explorative work: using the Computer-Based

Patient Record (CPR) Ontology for Clinical Data

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Page 38: Linking clinical data standards

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Internal

categorization to

support Design &

Interpretation

decisions

A scenario:

Linked Clinical Study Metadata

38

http://clinial.data.astrazeneca.com/id/study/D8180C00011

http://data.linkedct.org/resource/trials/NCT00755378

What would we like to see as the

linked data description of it?

What would we like to see on a

internal webpage

presenting linked data

describing a clinical study?

owl:sameAs

More ideas

Page 39: Linking clinical data standards

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Explore the use of BRIDG and TMO

for common classes and properties

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Semantic Web Health Care

and Life Sciences (HCLS)

Interest Group

Translational Medicine Ontology

(a.k.a. Pharma Ontology)

Page 40: Linking clinical data standards

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Linking Clinical Data: Explore URI

scheme and minting URI:s

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Proposal: Build on http://data.gov.uk/resources/uris

Page 41: Linking clinical data standards

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Explorative work: using the Computer-Based

Patient Record (CPR) Ontology for Clinical Data

Acknowledgements:

Chimezie Ogbuji, Case Western Reserve University's Center for

Clinical Investigation, previously Cleveland Clinics.

Martin Agfjord, IT University, Göteborg

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Page 42: Linking clinical data standards

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

If you want to learn more

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An Intro To The Semantic Web: Why You Need To

Know About It Sooner Than Later , by Samantha Wong

Image Source: Frederic Martin

The Semantic Web 2010 Status Update

by Prof .Jim Hendler

Open data: accountability, citizen utility

and economic opportunity.

http://data.gov.uk/linked-data

http://www.data.gov/semantic

Linked Spending Data –

How and Why Bother

Linking Open Drug Data

Interest Group for Semantic Web in

Health Care and Life Science

http://www.w3.org/blog/hcls

Linked Open Data star scheme by example

The Linking Open Data

cloud diagram

Guide to the

Payments Ontology

The RDF Data Cube

vocabulary

Presentation:

Statistical Data in RDF

How DBpedia Treats

Wikipedia as a Database

Excellent article “More than Words: Biomedical Ontologies”

Page 43: Linking clinical data standards

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

Kerstin Forsberg CDISC Interchange Europe 2011 eHR and the World Beyond

And now – An Evening with TinTin

at the Brussels Comic Strip Center!

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