You almost need to be a super sleuth to decode the acronyms in clinical metadata. Our confidential (not really) dossier of some of the important acronyms in clinical data standards will debrief you on the case.

1. Decoding the
Acronyms in
C l i n i c a l
Data
Standards

2. Whois
Behind
C l i n i c a l
D a t a
S t a n d a r d s ?

3. Bi omedi ca
l
Research
Integrated
Domain
Group
Collaborative effort among advocates f o r data standardization.
A Domain Analysis Model.
It's goal i s to standardize domains and structures f o r c l i n i c a l data.

4. C l i n i c a l
Data
I nt er change
Standards
Consortium
Non-profit organization founded i n 1997.
Sponsored by 32 companies across the globe.
Works to streamline the submission of c l i n i c a l data to the FDA.

5. Wor l d
Wide
Web
Consor t i um
"International community that develops open
standards" f o r data exchange across the web.
Provides an ideal framework f o r healthcare data
i n i t i a t i v e s .

6. Decodi ng
The
Acr onyms

7. Acr onym: SDTM
F u l l Name: Study Data Tabulation Model
Description:
CDISC standard for submitting c l i n i c a l data to the FDA.
Groups data i n t o variables, which can be grouped i n t o domains.

8. Acr onym: CDASH
F u l l Name: C l i n i c a l DataAcquisition
Standards Harmonization
Description:
Provides a content template for Case Report Forms (CRFs).
Provides collection data for 18 domains.

9. Acr onym: ADaM
F u l l Name: Analysis Data Model
Description:
Standardizes the display of data for analysis purposes.
Emphasizes principles of data order and organization.

10. Acr onym: SHARE
F u l l Name: Shared Health And Research
Electronic Library
Description:
Global electronic l i b r a r y for CDISC metadata standards.
Response to FDApressure for a universal metadata repository.

11. Acr onym: RDF
F u l l Name: Resource Description
Framework
Description:
Aims to translate English i n t o a programming language.
Helps show relationships amongstvariables.

12. Acr onym: OWL
F u l l Name: WebOntology Language
Description:
B u i l t inside the RDF.
Allows additional classification & description information.

13. Acr onym: SKOS
F u l l Name: Simple Knowledge
Organization System
Description:
RDF-Based.
Vocabulary for creating terminologies.

14. Aboutd-Wise
d-Wise works wi t h l i f e science and healthcare organizations to solve t h e i r
business optimization challenges.
d-Wise’s ten-year h i s t o ry of t a i l o r i n g solutions to meet i n d i v i d u a l c l i e n t needs
and d e l i v e r data integration, data warehousing and standards solutions w i t h i n
highly-regulated industries i s rooted i n extensive domain knowledge of SAS
software, c l i n i c a l drug development and c l i n i c a l data standards l i k e CDISC.
Our solutions f o r c l i n i c a l t r i a l optimization, metadata management, and c l i n i c a l
standards provide a s o l i d foundation f o r extracting accurate business analytics,
enabling c r i t i c a l business decisions to be made r a p i d l y and based on a l l the data.
W ithin the healthcare arena, d-Wise provides data optimization f o r actuarial,
quality, medical-management, and operational data marts and warehouses, as well
as support f o r fraud detection using data-driven and repeatable processes.