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Title: The development of large-scale de-identified biomedical databases in the age of genomics-principles and challenges
Authors: Dankar, Fida K
Ptitsyn, Andrey
Dankar, Samar K
Affiliations: Faculty of Health Sciences 
Keywords: Biomedical database
Data governance
Data privacy
Whole genome sequencing
Issue Date: 2018
Publisher: Springer
Part of: Human Genomics
Volume: 12
Issue: 1
Contemporary biomedical databases include a wide range of information types from various observational and instrumental sources. Among the most important features that unite biomedical databases across the field are high volume of information and high potential to cause damage through data corruption, loss of performance, and loss of patient privacy. Thus, issues of data governance and privacy protection are essential for the construction of data depositories for biomedical research and healthcare. In this paper, we discuss various challenges of data governance in the context of population genome projects. The various challenges along with best practices and current research efforts are discussed through the steps of data collection, storage, sharing, analysis, and knowledge dissemination.
ISSN: 14739542
DOI: 10.1186/s40246-018-0147-5
Open URL: Link to full text
Type: Journal Article
Appears in Collections:Department of Public Health

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