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The semantics of the LS DAM model are now represented in the BRIDG model with the release of BRIDG 4.0. The goal of the BRIDG model is to produce a shared view of the dynamic and static semantics for the domain of basic, pre-clinical, clinical, and translational research and its associated regulatory artifacts. Moving forward, the Life Sciences semantics will be maintained and managed as part of the BRIDG model. More information is available on the BRIDG website.



Overview of the LS DAM

The Life Sciences Domain Analysis Model (LS DAM) was a shared view of the semantics for Life Sciences which includes hypothesis driven basic and pre-clinical research as well as discovery sciences. The effort was initiated as a means to provide a foundation for achieving semantic interoperability among various applications.

This was a collaborative effort, currently engaging stakeholders from the National Cancer Institute (NCI), the HL7 Clinical Genomics Work Group (HL7 CG WG), and the Biomedical Research Integrated Domain Group (BRIDG).

The LS DAM was aligned, where appropriate, with earlier versions of the Biomedical Research Integrated Domain Group (BRIDG) model. The points of alignment highlighted the touch points between life sciences and clinical research, and through these touch points, the two models could be used together to support semantic interoperability across the translational research continuum.

The LS DAM was modeled in UML through Enterprise Architect. It was fully described through UML class and instance diagrams. The LS DAM was bound to the ISO 21090 data type standard.

What is a Domain Analysis Model (DAM)?

A Domain Analysis Model (DAM) :

  • An implementation-independent view of a domain of interest
  • Represents a shared understanding of concepts
  • Uses domain terminology and is understandable to domain experts who may have little or no UML skills but yet, are a primary consumer
  • Includes unambiguous definitions
  • Uses complex data types designed specifically for the domain of focus, in our case healthcare
  • Follows good modeling practices
  • Enables interoperability when systems share a common understanding
  • Is built by analysts and subject matter experts who develop consensus
  • Informs development of downstream artifacts

LS DAM Scope Statement

Life Sciences research includes (i) in vivo experiments, (ii) ex vivo, in vitro or in situ experiments, and (iii) in silico experiments modeling and analyzing processes or other biological phenomena.

The Life Sciences Domain Analysis Model (LS DAM) focused on concepts important for conducting hypothesis driven and discovery science at the organismal, cellular and molecular level. The LS DAM included and defined relationships between concepts that are central to specimen collection, processing and banking (human, model organism, cell lines, etc.), in vitro imaging, and molecular biology.

LS DAM Context:
Concepts important to Clinical Research are contained in the BRIDG domain analysis model. The LS DAM and BRIDG models are harmonized on key concepts that can be used as touch points to allow utilization of elements from both models.

LS DAM Project Team Members and Stakeholders




Juli Klemm


Government Sponsor, ICR Workspace Federal Lead

Ian Fore


TBPT Workspace Federal Lead

Mervi Heiskanen


ICR Workspace Facilitator

Anna Fernandez

Booz Allen Hamilton

TBPT Workspace Facilitator

Robert Freimuth

Mayo Clinic


Elaine Freund

3rd Millennium

ICR Workspace Facilitator

Joyce Hernandez


HL7 Clinical Genomics WG

Jason Hipp

University of Michigan


Jenny Kelley



Sue Pan



Fred Prior

Washington University in St. Louis


Konrad Rokicki



Lisa Schick


LS DAM Analyst

Mukesh Sharma

Washington University in St. Louis

IRWG, HL7 Clinical Genomics WG

Grace Stafford

The Jackson Laboratory


Todd Stokes

Georgia Tech


Baris Suzek

Georgetown University


Release History

LS DAM Version

Release Date

Primary Focus


May 2012

Harmonization of specimen processing protocol and binding to HL7 Abstract Data Type Release 2


January 2012

Re-alignment of Experiment Core to ISA-TAB as per community feedback


May 2011

Correction to technical (non-domain semantics) issues


April 2011

Further refinement of Experiment and Molecular Biology Core and introduction of Experiment Implementation Guide


February 2011

Resolution of concerns within Molecular Biology and Experiment Cores


October 2010

Alignment with BRIDG 3.0.2 and formalization of Experiment Core


February 2010

Addition of key semantics from ICR nano sub-domain


October 2009

Further alignment with BRIDG 3.0.1


July 2009

Initial release

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