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portada Discussion Framework for Clinical Trial Data Sharing. Guiding Principles, Elements, and Activities
Type
Physical Book
Year
2014
Pages
72
Format
Paperback
Dimensions
22.9x15.2x2.5 cm
ISBN13
9780309297790

Discussion Framework for Clinical Trial Data Sharing. Guiding Principles, Elements, and Activities

Board On Health Sciences Policy;Institute Of Medicine;Committee On Strategies For Responsible Sharing Of Clinical Trial Data (Author) · National Academies Press · Paperback

Discussion Framework for Clinical Trial Data Sharing. Guiding Principles, Elements, and Activities - Board on Health Sciences Policy;Institute of Medicine;Committee on Strategies for Responsible Sharing of Clinical Trial Data

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Synopsis "Discussion Framework for Clinical Trial Data Sharing. Guiding Principles, Elements, and Activities"

Sharing data generated through the conduct of clinical trials offers the promise of placing evidence about the safety and efficacy of therapies and clinical interventions on a firmer basis and enhancing the benefits of clinical trials. Ultimately, such data sharing - if carried out appropriately - could lead to improved clinical care and greater public trust in clinical research and health care. Discussion Framework for Clinical Trial Data Sharing: Guiding Principles, Elements, and Activities is part of a study of how data from clinical trials might best be shared. This document is designed as a framework for discussion and public comment. This framework is being released to stimulate reactions and comments from stakeholders and the public. The framework summarizes the committee's initial thoughts on guiding principles that underpin responsible sharing of clinical trial data, defines key elements of clinical trial data and data sharing, and describes a selected set of clinical trial data sharing activities. Table of ContentsFront MatterDiscussion Framework for Clinical Trial Data SharingReferencesAppendix A: Statement of TaskAppendix B: Committee BiographiesAppendix C: Figure 1: Data Flow from Participant to Analyzed Data and Reporting

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