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

Thursday, October 11, 2012 — Poster Session III
10:00 a.m. – Noon	Natcher Conference Center, Building 45	NCI	TECH-10

Authors

• L Schick
• S DeCoronado
• R Freimuth
• M Heiskanen
• J Hernandez
• J McCusker
• M Sharma
• G Stafford
• B Suzek
• 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 and information exchange across various sub-domains within Life Sciences. It focuses on concepts important for conducting hypothesis-driven and discovery science at the organism, cell and molecular level and describes concepts that are central to specimen collection, processing and banking, in vitro imaging, and molecular biology. The LS DAM includes touch points to the Biomedical Research Integrated Domain Group (BRIDG) model (a DAM focused on clinical and pre-clinical protocol-driven research) enabling support for translational research by lowering the semantic barriers to information exchange. The current version of the LS DAM was published in May 2012 and is publicly available (https://wiki.nci.nih.gov/x/cxRlAQ). The team is pursuing the addition of domain semantics to the model based on the needs of the stakeholder communities (NCI caBIG, HL7 Clinical Genomics and Orders and Observations Work Groups). The model is informing the development of two DAMs within HL7. The team is also pursuing the development of an ontological representation to expand our stakeholder base into communities focused on semantic web technologies.

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