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eClims - A free clinical information management system

Traduction(s) de cet article : français
Intervenant(s) :Pierre Naubourg
Type d'événement :Conférence
Niveau :Confirmé
Date :Jeudi 9 juillet 2009
Horaire :15h00
Durée :20 minutes
Langue :Français
Lieu :Salle E202 - Ireste

The proteomic research is a biology sub-field that studies proteins produced by genes of an individual. The proteomics uses high-throughput technologies (mass spectrography, electrophoresis, etc.). These technologies generate large quantities of data in different formats (images, texts, numerical matrices, mass spectrums, etc.). These data are produced by using experimental protocols that are highly demanding in time, resources, knowledge, treatment, storage, etc.

An important aspect of carrying out experiments and interpreting them is contextualization of data that allows in turn to reuse and to share data.

Whatever the field may be, a relevant contextualization of data has to take into account consensual references. In the biomedical field, there are several standardization initiatives, such as : icd (International Classification of Diseases), which offers a precise classification of pathologies from which patients suffer ; the "French recommendations to tumor banks" that define a legal context for conservation of tumor samples and patient personal data ; the tnm (Tumor, Nodes, Metastasis) classification which defines stages of development of cancer.

In addition to the above aspect of "context integration", the benefits of a free lims (Laboratory Information Management System) are its adaptability and the guaranteed reusability of its data. For example, the legislation on the conservation of personal data differs from one country to another, just as each laboratory uses its own specific experimental equipment. The ability to access the software source code and to modify it allows adapt the software package to different contexts of use and to facilitate its distribution.

Our lims project is divided into three separate modules : the management of experimental data (ePimsTM), the management of statistical worflows (ASA-Stats), and the management of clinical data (eClims). Our presentation will primarily focus on eClims’s internal organization and its functionalities. However, since each module is being developed by an independent agent, we will present the organization of the community of users and developers.

Authors : Pierre Naubourg (LE2I, Université de Bourgogne), Valentin Bouquet (ASA, Montpellier) et Caroline Truntzer (CLIPP, Dijon)

Speaker : Pierre Naubourg

Pierre Naubourg is a second year PhD student in computer science in the Laboratory LE2I in the University of Burgundy. His thesis is about the constraint management in UML models. His work consist in analyzing the various constraints in UML, and in proposing a framework for software designers to facilitate the management of constraints. The implementation of the ideas of his thesis is designed to be integrated into the eClims project.

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