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A call for global governance of biobanks

Overview of attention for article published in Bulletin of the World Health Organization, November 2014
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Title
A call for global governance of biobanks
Published in
Bulletin of the World Health Organization, November 2014
DOI 10.2471/blt.14.138420
Pubmed ID
Authors

Haidan Chen, Tikki Pang

Abstract

The progress in genomic research has led to increased sampling and storage of biological samples in biobanks. Most biobanks are located in high-income countries, but the landscape is rapidly changing as low- and middle-income countries develop their own. When establishing a biobank in any setting, researchers have to consider a series of ethical, legal and social issues beyond those in traditional medical research. In addition, many countries may have inadequate legislative structures and governance frameworks to protect research participants and communities from unfair distribution of risks and benefits. International collaborations are frequently being created to support the establishment and proper running of biobanks in low- and middle-income countries. However, these collaborations cause cross-border issues - such as benefit sharing and data access. It is thus necessary to define and implement a fair, equitable and feasible biobank governance framework to ensure a fair balance of risks and benefits among all stakeholders.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 68 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 3%
Student > Master 2 3%
Student > Doctoral Student 1 1%
Professor > Associate Professor 1 1%
Unknown 62 91%
Readers by discipline Count As %
Nursing and Health Professions 2 3%
Business, Management and Accounting 1 1%
Biochemistry, Genetics and Molecular Biology 1 1%
Social Sciences 1 1%
Medicine and Dentistry 1 1%
Other 0 0%
Unknown 62 91%