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The Clinical Trials Network is organized into 7 committees that provide overall oversight and strategic guidance, database management, site qualification and monitoring, scanner validation, clinical site orientation, technologist education, trial design, and a manufacturer's registry.
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The framework presented here was also used as a template for the development of a user-oriented information support system (see "Guidance tools, databases and case studies").
The pre-publication history for this paper can be accessed here: http://www.biomedcentral.com/1472-6874/14/33/prepub We are grateful to Dr. Jonas Manjer for guidance regarding the database, Anders Dahlin for MDCS database management, and Darek Gozdzik for his work on the dataset that formed the basis for this study.
Data from the ESP (the exome sequencing project) (http://evs.gs.washington.edu/EVS/) was also used in classification but only as a guidance as this database contains data from both the selected affected and controls for specific traits.
The ease of use criteria certainly provides guidance for which databases are the most user-friendly; however, another element must be considered when examining the scores.
We also acknowledge Charmaine Cooke and Dr. Jennifer Payne for their guidance on particular databases, Margaret Jorgenson for administrative support, and Martha Cox for analytic support.
However, we have tightened the model's logic in some places, particularly in cases where ad hoc assumptions are replaced by more empirically driven guidance from our polling database.
More detailed Database paper guidance is illustrated in Table 1.
We are also grateful to the Obesity Leads and other informants, to Christine McGuire from the Department of Health, and to Gill Moffett and Suzanne Turnock at the Cross-Government Obesity Unit for guidance in refining the database in order to address issues most likely to be helpful to planners.
When completed, the study will provide published guidance on UK bibliographic databases in the fields of health and social care.
A proper working environment and training or guidance in constructing a reliable database is rarely available.
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