Difference between revisions of "Template:Article of the week"

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'''"[[Journal:The effect of the General Data Protection Regulation on medical research|The effect of the General Data Protection Regulation on medical research]]"'''
'''"[[Journal:Ten simple rules for developing usable software in computational biology|Ten simple rules for developing usable software in computational biology]]"'''


The enactment of the General Data Protection Regulation (GDPR) will impact on European data science. Particular concerns relating to consent requirements that would severely restrict medical data research have been raised. Our objective is to explain the changes in data protection laws that apply to medical research and to discuss their potential impact ... The GDPR makes the classification of pseudonymised data as personal data clearer, although it has not been entirely resolved. Biomedical research on personal data where consent has not been obtained must be of substantial public interest. [We conclude] [t]he GDPR introduces protections for data subjects that aim for consistency across the E.U. The proposed changes will make little impact on biomedical data research. ('''[[Journal:The effect of the General Data Protection Regulation on medical research|Full article...]]''')<br />
The rise of high-throughput technologies in molecular biology has led to a massive amount of publicly available data. While computational method development has been a cornerstone of biomedical research for decades, the rapid technological progress in the wet [[laboratory]] makes it difficult for software development to keep pace. Wet lab scientists rely heavily on computational methods, especially since more research is now performed ''in silico''. However, suitable tools do not always exist, and not everyone has the skills to write complex software. Computational biologists are required to close this gap, but they often lack formal training in software engineering. To alleviate this, several related challenges have been previously addressed in the ''Ten Simple Rules'' series, including reproducibility, effectiveness, and open-source development of software. ('''[[Journal:Ten simple rules for developing usable software in computational biology|Full article...]]''')<br />
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''Recently featured'':  
''Recently featured'':  
: ▪ [[Journal:The effect of the General Data Protection Regulation on medical research|The effect of the General Data Protection Regulation on medical research]]
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: ▪ [[Journal:Methods for specifying scientific data standards and modeling relationships with applications to neuroscience|Methods for specifying scientific data standards and modeling relationships with applications to neuroscience]]
: ▪ [[Journal:Data and metadata brokering – Theory and practice from the BCube Project|Data and metadata brokering – Theory and practice from the BCube Project]]
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Revision as of 15:36, 1 May 2017

"Ten simple rules for developing usable software in computational biology"

The rise of high-throughput technologies in molecular biology has led to a massive amount of publicly available data. While computational method development has been a cornerstone of biomedical research for decades, the rapid technological progress in the wet laboratory makes it difficult for software development to keep pace. Wet lab scientists rely heavily on computational methods, especially since more research is now performed in silico. However, suitable tools do not always exist, and not everyone has the skills to write complex software. Computational biologists are required to close this gap, but they often lack formal training in software engineering. To alleviate this, several related challenges have been previously addressed in the Ten Simple Rules series, including reproducibility, effectiveness, and open-source development of software. (Full article...)

Recently featured:

The effect of the General Data Protection Regulation on medical research
Methods for specifying scientific data standards and modeling relationships with applications to neuroscience
Data and metadata brokering – Theory and practice from the BCube Project