title: Life sciences domain analysis model.
abstract: OBJECTIVE
  Meaningful exchange of information is a fundamental challenge in collaborative biomedical research. To help address this, the authors developed the Life Sciences Domain Analysis Model (LS DAM), an information model that provides a framework for communication among domain experts and technical teams developing information systems to support biomedical research. The LS DAM is harmonized with the Biomedical Research Integrated Domain Group (BRIDG) model of protocol-driven clinical research. Together, these models can facilitate data exchange for translational research.
  
  
  METHODS
  The content of the LS DAM was driven by analysis of life sciences and translational research scenarios and the concepts in the model are derived from existing information models, reference models and data exchange formats. The model is represented in the Unified Modeling Language and uses ISO 21090 data types.
  
  
  RESULTS
  The LS DAM v2.2.1 is comprised of 130 classes and covers several core areas including Experiment, Molecular Biology, Molecular Databases and Specimen. Nearly half of these classes originate from the BRIDG model, emphasizing the semantic harmonization between these models. Validation of the LS DAM against independently derived information models, research scenarios and reference databases supports its general applicability to represent life sciences research.
  
  
  CONCLUSIONS
  The LS DAM provides unambiguous definitions for concepts required to describe life sciences research. The processes established to achieve consensus among domain experts will be applied in future iterations and may be broadly applicable to other standardization efforts.
  
  
  CONCLUSIONS
  The LS DAM provides common semantics for life sciences research. Through harmonization with BRIDG, it promotes interoperability in translational science.
authors: Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA.
authors: Robert R
authors: RR
authors: Freimuth
authors: Elaine T
authors: ET
authors: Freund
authors: Lisa
authors: L
authors: Schick
authors: Mukesh K
authors: MK
authors: Sharma
authors: Grace A
authors: GA
authors: Stafford
authors: Baris E
authors: BE
authors: Suzek
authors: Joyce
authors: J
authors: Hernandez
authors: Jason
authors: J
authors: Hipp
authors: Jenny M
authors: JM
authors: Kelley
authors: Konrad
authors: K
authors: Rokicki
authors: Sue
authors: S
authors: Pan
authors: Andrew
authors: A
authors: Buckler
authors: Todd H
authors: TH
authors: Stokes
authors: Anna
authors: A
authors: Fernandez
authors: Ian
authors: I
authors: Fore
authors: Kenneth H
authors: KH
authors: Buetow
authors: Juli D
authors: JD
authors: Klemm
mesh_terms: D001690:Biological Science Disciplines; D006801:Humans; D033181:Information Dissemination; D016247:Information Storage and Retrieval; D007256:Information Systems; D012015:Reference Standards; D012660:Semantics; D018511:Systems Integration; D057170:Translational Research, Biomedical; D017432:Unified Medical Language System