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An International Framework for Data Sharing: Moving Forward with the Global Alliance for Genomics and Health

Overview of attention for article published in Biopreservation and Biobanking, April 2016
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Title
An International Framework for Data Sharing: Moving Forward with the Global Alliance for Genomics and Health
Published in
Biopreservation and Biobanking, April 2016
DOI 10.1089/bio.2016.0005
Pubmed ID
Authors

Vasiliki Rahimzadeh, Stephanie O.M. Dyke, Bartha M. Knoppers

Abstract

The Global Alliance for Genomics and Health is marshaling expertise in biomedical research and data sharing policy to propel bench-to-bedside translation of genomics in parallel with many of the BioSHaRE-EU initiatives described at length in this Issue. Worldwide representation of institutions, funders, researchers, and patient advocacy groups at the Global Alliance is testament to a shared ideal that sees maximizing the public good as a chief priority of genomic innovation in health. The Global Alliance has made a critical stride in this regard with the development of its Framework for Responsible Sharing of Genomic and Health-related Data.(1) This article first discusses the human rights pillars that underlie the Framework and mission of the Global Alliance. Second, it outlines the Global Alliance's use of data governance policies through a number of demonstration projects. Finally, the authors describe how the Global Alliance envisions international data sharing moving forward in the postgenomic era.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 2%
United States 1 2%
Bulgaria 1 2%
Canada 1 2%
Unknown 57 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 18%
Researcher 10 16%
Student > Bachelor 5 8%
Student > Master 4 7%
Librarian 3 5%
Other 13 21%
Unknown 15 25%
Readers by discipline Count As %
Social Sciences 10 16%
Nursing and Health Professions 8 13%
Agricultural and Biological Sciences 7 11%
Biochemistry, Genetics and Molecular Biology 5 8%
Computer Science 3 5%
Other 13 21%
Unknown 15 25%