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Australia: regulating genomic data sharing to promote public trust

Overview of attention for article published in Human Genetics, August 2018
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53 Mendeley
Title
Australia: regulating genomic data sharing to promote public trust
Published in
Human Genetics, August 2018
DOI 10.1007/s00439-018-1914-z
Pubmed ID
Authors

Lisa Eckstein, Donald Chalmers, Christine Critchley, Ruthie Jeanneret, Rebekah McWhirter, Jane Nielsen, Margaret Otlowski, Dianne Nicol

Abstract

The regulation of genomic data sharing in Australia is a confusing mix of common law, legislation, ethical guidelines, and codes of practice. Beyond privacy laws, which only apply to genomic data that meets the definition of personal information, the key regulatory lever is the National Health and Medical Research Council (NHMRC) National Statement for Ethical Conduct in Human Research ("National Statement") (2007). Compliance with the National Statement is a requirement for institutions to apply to the NHMRC for funding, and includes-among other things-requirements for review of most genomic research by Human Research Ethics Committees. The sections of the National Statement specifying requirements for research with human genomic data are currently under review, including proposed new requirements addressing the return of genetic research findings and oversight of transfer agreements. Ensuring the willingness of Australians to donate their genomic information and participate in medical research will require clarification and harmonisation of the applicable regulatory framework, along with reforms to ensure that these regulations reflect the conditions necessary to promote ongoing public trust in researchers and institutions.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 19%
Student > Ph. D. Student 6 11%
Student > Doctoral Student 4 8%
Student > Bachelor 3 6%
Other 3 6%
Other 7 13%
Unknown 20 38%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 8%
Social Sciences 4 8%
Computer Science 3 6%
Psychology 3 6%
Medicine and Dentistry 3 6%
Other 12 23%
Unknown 24 45%