Life Sciences Domain Analysis Model (LS DAM): A foundational analysis model to support effective information exchange in Life Sciences

Wednesday, October 26, 2011 — Poster Session III
10:00 a.m. – Noon	Natcher Conference Center	NCI	TECH-3

Authors

• R Freimuth
• E Freund
• L Schick
• M Sharma
• G Stafford
• B Suzek
• J Hernandez
• J Hipp
• J Kelley
• K Rokicki
• S Pan
• A Buckler
• T Stokes
• A Fernandez
• I Fore
• J Klemm

Abstract

Domain Analysis Models (DAMs) are implementation-independent representations of the shared understanding of the semantics of interest within a specific domain. The Life Sciences Domain Analysis Model (LS DAM) provides a common ground for mutual understanding across various sub-domains within Life Sciences and focuses on concepts important for conducting hypothesis driven and discovery science at the organism, cell and molecular level. The LS DAM describes concepts that are central to specimen collection, processing and banking, in vitro imaging, and molecular biology. The LS DAM provides investigators within and across disciplines in life sciences a framework for exchanging information at both the human readable and computational level. The LS DAM has defined touch points to the Biomedical Research Integrated Domain Group (BRIDG) model (a DAM focused on clinical and pre-clinical protocol-driven research) and together these models support translational research by lowering the semantic barriers to information exchange. The LS DAM was initially released in July 2009 and continues to evolve based on feedback and the needs of the stakeholder communities (NCI caBIG Life Sciences, HL7 Clinical Genomics Work Group, and BRIDG). Release 2.2.1 was published in May 2011 and is publicly available (https://wiki.nci.nih.gov/x/cxRlAQ).

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