Toward an ontology-based framework for clinical research databases

Clinical research includes a wide range of study designs from focused observational studies to complex interventional studies with multiple study arms, treatment and assessment events, and specimen procurement procedures. Participant characteristics from case report forms need to be integrated with molecular characteristics from mechanistic experiments on procured specimens. In order to capture and manage this diverse array of data, we have developed the Ontology-Based eXtensible data model (OBX) to serve as a framework for clinical research data in the Immunology Database and Analysis Portal (ImmPort). By designing OBX around the logical structure of the Basic Formal Ontology (BFO) and the Ontology for Biomedical Investigations (OBI), we have found that a relatively simple conceptual model can represent the relatively complex domain of clinical research. In addition, the common framework provided by BFO makes it straightforward to develop data dictionaries based on reference and application ontologies from the OBO Foundry.

[1]  Barry Smith,et al.  Biodynamic ontology: applying BFO in the biomedical domain. , 2004, Studies in health technology and informatics.

[2]  Robert M Califf,et al.  Linking Scientific Discovery and Better Health for the Nation: The First Three Years of the NIH's Clinical and Translational Science Awards , 2010, Academic medicine : journal of the Association of American Medical Colleges.

[3]  Christopher G. Chute,et al.  The Enterprise Data Trust at Mayo Clinic: a semantically integrated warehouse of biomedical data , 2010, J. Am. Medical Informatics Assoc..

[4]  William Edward Hammond,et al.  Healthcare standards development. The value of nurturing collaboration. , 2009, Journal of AHIMA.

[5]  Liora Alschuler,et al.  Model Formulation: Implementing Single Source: The STARBRITE Proof-of-Concept Study , 2007, J. Am. Medical Informatics Assoc..

[6]  Nigel W. Hardy,et al.  Promoting coherent minimum reporting guidelines for biological and biomedical investigations: the MIBBI project , 2008, Nature Biotechnology.

[7]  Shannon McWeeney,et al.  MIFlowCyt: The minimum information about a flow cytometry experiment , 2008, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

[8]  Jiajie Zhang,et al.  Operationalization of the UFuRT methodology for usability analysis in the clinical research data management domain , 2009, J. Biomed. Informatics.

[9]  Wolfgang Kuchinke,et al.  CDISC Standard-based Electronic Archiving of Clinical Trials , 2009, Methods of Information in Medicine.

[10]  M. Ashburner,et al.  The OBO Foundry: coordinated evolution of ontologies to support biomedical data integration , 2007, Nature Biotechnology.

[11]  Julie Evans,et al.  Model Formulation: The BRIDG Project: A Technical Report , 2008, J. Am. Medical Informatics Assoc..