Send to

Choose Destination
See comment in PubMed Commons below
J Biomed Inform. 2009 Feb;42(1):100-12. doi: 10.1016/j.jbi.2008.08.002. Epub 2008 Aug 12.

Translational integrity and continuity: personalized biomedical data integration.

Author information

Biomedical Informatics Core, Computation Institute, University of Chicago, 950 E 61st Street, Room 334, Chicago, IL 60637, USA.


Translational research data are generated in multiple research domains from the bedside to experimental laboratories. These data are typically stored in heterogeneous databases, held by segregated research domains, and described with inconsistent terminologies. Such inconsistency and fragmentation of data significantly impedes the efficiency of tracking and analyzing human-centered records. To address this problem, we have developed a data repository and management system named TraM (, based on a domain ontology integrated entity relationship model. The TraM system has the flexibility to recruit dynamically evolving domain concepts and the ability to support data integration for a broad range of translational research. The web-based application interfaces of TraM allow curators to improve data quality and provide robust and user-friendly cross-domain query functions. In its current stage, TraM relies on a semi-automated mechanism to standardize and restructure source data for data integration and thus does not support real-time data application.

[Indexed for MEDLINE]
Free PMC Article
PubMed Commons home

PubMed Commons

How to join PubMed Commons

    Supplemental Content

    Full text links

    Icon for Elsevier Science Icon for PubMed Central
    Loading ...
    Support Center