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Demonstrations of technologies, infrastructures and infrastructure components
Germany / Deutschland   Onto-Builder

Software tool for constructing and using semantically sound data dictionaries

developed by clinical domains keywords
Onto-Med Research Group, Institute for Medical Informatics, Statistics and Epidemiology (IMISE), University of Leipzig, Germany Malignant Lymphoma, Heart Failure, Pediatric Oncology Ontologies in Medicine, data dictionaries, metalogical, conceptual modelling, GOL, SOP-Creator
status access demonstrator
Under continued development and refinement. In use by the Research Networks on Malignant Lymphoma and Heart Failure and the Coordination Center for Clinical Trials, Leipzig (KKSL).  bullet  Demonstration version of Onto-Builder - registration required
description
Onto-Builder is a tool designed to support the construction and administration of Data Dictionaries in the field of clinical trials.

A standard Data Dictionary used in the collection and analysis of clinical trials data supports:

  • "reusability of terms and their meanings, e.g. in the definition of new trials
  • uniform reference of terms for all trial-specific tools, input windows
  • uniform reference of terms for the definition of Standard Operating Procedures (SOPs) within the Lymphoma Alliance
  • quality assurance in carrying out clinical trials
  • comparison of differing definitions of a term in various sources, thereby supporting comparative analysis and consensus building
  • harmonization of the study-center databases within the Lymphoma Alliance
  • harmonization of trial protocols and case report forms"

references

Heller B, Herre H, Lippoldt K, Loeffler M. Standardized terminology for clinical trial protocols based on top-level ontological categories. Stud Health Technol Inform. 2004;101:46-60.

[PubMed]   []

"This paper describes a new method for the ontologically based standardization of concepts with regard to the quality assurance of clinical trial protocols. We developed a data dictionary for medical and trial-specific terms in which concepts and relations are defined context-dependently. The data dictionary is provided to different medical research networks by means of the software tool Onto-Builder via the internet. The data dictionary is based on domain-specific ontologies and the top-level ontology of GOL. The concepts and relations described in the data dictionary are represented in natural language, semi-formally or formally according to their use. "

Heller, B., Herre, H., Lippoldt, K., Löffler, M. 2004. Standardized Terminology for Clinical Trial Protocols Based on Ontological Top-Level Categories. In: Kaiser, K., Miksch, S., Tu, S.W. (eds.) Computer-based Support for Clinical Guidelines and Protocols. Proceedings of the Symposium on Computerized Guidelines and Protocols. (CGP 2004), 2004 April 13-14. Prague. p. 46-60. Studies in Health Technology and Informatics, Vol.101. Amsterdam: IOS-Press

[]   [IMISE]

" This paper describes a new method for the ontologically based standardization of concepts with regard to the quality assurance of clinical trial protocols. We developed a data dictionary for medical and trial-specific terms in which concepts and relations are defined context-dependently. The data dictionary is provided to different medical research networks by means of the software tool Onto-Builder via the internet. The data dictionary is based on domain-specific ontologies and the toplevel ontology of GOL1. The concepts and relations described in the data dictionary are represented in natural language, semi formally or formally according to their use. "

contact links
Dr. Barbara Heller, Prof. Heinrich Herre, Prof. Markus Loeffler
IMISE
University Leipzig
Härtelstr. 16-18
04107 Leipzig
Germany.

Tel.: +49 (0) 341 97 16 104
F: +49 (0) 341 97 16130

E: barbara.heller@imise.uni- leipzig.de

 

 bullet  Onto-Builder  bullet  Onto-Med Research Group, Institute for Medical Informatics, Statistics and Epidemiology (IMISE), University of Leipzig, Germany  bullet  Onto-Builder brochure

acknowledgements
 
Entry on OpenClinical: 09 February 2005
Last main update: 09 February 2005
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