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Sharing clinical trial data： A Proposal from the International Committee of Medical Journal Editors

Chinese Medical Journal 2016年第2期129卷 127-128页

作者： Darren B Taichman Joyce Backus Christopher Baethge Howard Bauchner Peter W de Leeuw Jeffrey M Drazen John Fletcher Frank Frizelle Irish Groves Abraham Haileamlak Astrid James Christine Laine Larry Peiperl Anja Pinborg Peush Sahni Si-Nan Wu ICMJE Executive Deputy Editor Annals of Internal Medicine Library Operations National Library of Medicine German Medical Journal (Deutsches Arzteblatt) Editor-in-Chief Journal of the American Medical Association (JAMA) and the JAMA Network Editor-in-Chief The Dutch Medical Journal (Nederlands Tijdschrift voor Geneeskunde) Editor-in-Chief New England Journal of Medicine Editor-in-Chief Canadian Medical Association Journal Editor-in-Chief New Zealand Medical Journal Head of Research British Medical Journal Editor-in-Chief Ethiopian Journal of Health Sciences Deputv Editor The Lancet Editor-in-Chief Annals of Internal Medicine Chief Editor Public Library of Science (PLOS) Medicine Scientific Editor-ln-Chief Danish Medical Journal (Ugeskrift for Laeger) Representative and Past President World Association of Medical Editors Representative Chinese Medical Journal

The International Committee of Medical Journal Editors （ICMJE） believes that there is an ethical obligation to responsibly share data generated by interventional clinical trials because participants have put themselves at risk. In a growing consensus, many funders around the world - foundations, government agencies, and industry - now mandate data sharing. Here, we outline ICMJE＇s proposed requirements to help meet this obligation. We encourage feedback on the proposed requirements. Anyone can provide feedback at www. *** by April 18, 2016.

关键词： clinical trial data International Committee of Medical Journal Editors Share

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TabuVis:A tool for visual analytics multidimensional datasets

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Science China(Information Sciences) 2013年第5期56卷 64-75页

作者： NGUYEN Quang Vinh QIAN Yu HUANG MaoLin ZHANG JiaWan School of Computing Engineering and Mathematics and MARCS InstituteUniversity of Western SydneyPenrith South DCNSWAustralia

This paper describes TabuVis,a light weight visual analytics system that provides a flexible,customizable and effective visualization for multidimensional *** aspects for visually analyzing data with multiple attributes are quality and appropriateness of the analytical platform whose presentation can be adjusted via domain *** commercial-free and comprehensive prototype utilizes scatter-plot approach to support the visual analytics *** system consists of multiple components enabling the complete analysis process,including data processing,automatic marks,customizable interactive visualization and *** demonstrate the effectiveness of TabuVis on various case studies using medical and Oscars datasets.

关键词： visual analytics information visualization multidimensional data analysis clinical trial data biomedical data Oscars data

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