College of IT, UAEU, Al Ain, UAE.
Gloucester Marine Genomics Institute, Gloucester, MA, USA.
Hum Genomics. 2018 Apr 10;12(1):19. doi: 10.1186/s40246-018-0147-5.
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.
当代生物医学数据库包含来自各种观察和仪器来源的广泛信息类型。在将整个领域的生物医学数据库统一起来的最重要特征中，有高信息量和高数据损坏、性能下降和患者隐私丢失的可能性。因此，数据治理和隐私保护问题对于生物医学研究和医疗保健的数据存储库的构建至关重要。在本文中，我们讨论了人群基因组计划背景下的数据治理的各种挑战。通过数据收集、存储、共享、分析和知识传播的步骤，讨论了各种挑战以及最佳实践和当前的研究工作。
