Sharing Publication Related Data and Materials

This book PDF is perfect for those who love Science genre, written by National Research Council and published by National Academies Press which was released on 17 April 2003 with total hardcover pages 120. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Sharing Publication Related Data and Materials books below.

Sharing Publication Related Data and Materials

Author	: National Research Council
File Size	: 46,5 Mb
Publisher	: National Academies Press
Language	: English
Release Date	: 17 April 2003
ISBN	: 9780309168502
Pages	: 120 pages

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Sharing Publication Related Data and Materials by National Research Council Book PDF Summary

Biologists communicate to the research community and document their scientific accomplishments by publishing in scholarly journals. This report explores the responsibilities of authors to share data, software, and materials related to their publications. In addition to describing the principles that support community standards for sharing different kinds of data and materials, the report makes recommendations for ways to facilitate sharing in the future.

Sharing Publication Related Data and Materials by National Research Council,Division on Earth and Life Studies,Board on Life Sciences,Committee on Responsibilities of Authorship in the Biological Sciences

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Sharing Publication Related Data and Materials by National Research Council,Division on Earth and Life Studies,Board on Life Sciences,Committee on Responsibilities of Authorship in the Biological Sciences

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Evolution of Translational Omics by Institute of Medicine,Board on Health Sciences Policy,Board on Health Care Services,Committee on the Review of Omics-Based Tests for Predicting Patient Outcomes in Clinical Trials

Technologies collectively called omics enable simultaneous measurement of an enormous number of biomolecules; for example, genomics investigates thousands of DNA sequences, and proteomics examines large numbers of proteins. Scientists are using these technologies to develop innovative tests to detect disease and to predict a patient's likelihood of responding to specific

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Metabolomics by Jens Nielsen,Michael C. Jewett

Giving a fresh, substantial and in-depth overview of the topic, this book brings together the latest results in the field of metabolomics. It comprehensively presents the current state of the metabolomics field by underscoring experimental methods, analysis techniques, standardization practices, and advances in specific model systems. As a result, it

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Putting People on the Map by National Research Council,Division of Behavioral and Social Sciences and Education,Committee on the Human Dimensions of Global Change,Panel on Confidentiality Issues Arising from the Integration of Remotely Sensed and Self-Identifying Data

Precise, accurate spatial information linked to social and behavioral data is revolutionizing social science by opening new questions for investigation and improving understanding of human behavior in its environmental context. At the same time, precise spatial data make it more likely that individuals can be identified, breaching the promise of

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Principles of Big Data by Jules J. Berman

Principles of Big Data helps readers avoid the common mistakes that endanger all Big Data projects. By stressing simple, fundamental concepts, this book teaches readers how to organize large volumes of complex data, and how to achieve data permanence when the content of the data is constantly changing. General methods

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AMA Manual of Style by The JAMA Network Editors

The AMA Manual of Style is a must-have resource for anyone involved in medical, health, and scientific publishing. Written by an expert committee of JAMA Network editors, this latest edition addresses issues that face authors, editors, and publishers in the digital age. Extensive updates are included in the References chapter,

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Sharing Clinical Trial Data by Institute of Medicine,Board on Health Sciences Policy,Committee on Strategies for Responsible Sharing of Clinical Trial Data

Data sharing can accelerate new discoveries by avoiding duplicative trials, stimulating new ideas for research, and enabling the maximal scientific knowledge and benefits to be gained from the efforts of clinical trial participants and investigators. At the same time, sharing clinical trial data presents risks, burdens, and challenges. These include

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