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

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'''"[[Journal:Ten simple rules for developing usable software in computational biology|Ten simple rules for developing usable software in computational biology]]"'''
<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig1 Boland PLOSCompBio2017 13-1.png|240px]]</div>


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 />
'''"[[Journal:Ten simple rules to enable multi-site collaborations through data sharing|Ten simple rules to enable multi-site collaborations through data sharing]]"'''
Open access, open data, and software are critical for advancing science and enabling collaboration across multiple institutions and throughout the world. Despite near universal recognition of its importance, major barriers still exist to sharing raw data, software, and research products throughout the scientific community. Many of these barriers vary by specialty, increasing the difficulties for interdisciplinary and/or translational researchers to engage in collaborative research. Multi-site collaborations are vital for increasing both the impact and the generalizability of research results. However, they often present unique data sharing challenges. We discuss enabling multi-site collaborations through enhanced data sharing in this set of ''Ten Simple Rules''. ('''[[Journal:Ten simple rules to enable multi-site collaborations through data sharing|Full article...]]''')<br />
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Revision as of 16:14, 8 May 2017

Fig1 Boland PLOSCompBio2017 13-1.png

"Ten simple rules to enable multi-site collaborations through data sharing" Open access, open data, and software are critical for advancing science and enabling collaboration across multiple institutions and throughout the world. Despite near universal recognition of its importance, major barriers still exist to sharing raw data, software, and research products throughout the scientific community. Many of these barriers vary by specialty, increasing the difficulties for interdisciplinary and/or translational researchers to engage in collaborative research. Multi-site collaborations are vital for increasing both the impact and the generalizability of research results. However, they often present unique data sharing challenges. We discuss enabling multi-site collaborations through enhanced data sharing in this set of Ten Simple Rules. (Full article...)

Recently featured:

▪ Ten simple rules for developing usable software in computational biology
▪ The effect of the General Data Protection Regulation on medical research
▪ Methods for specifying scientific data standards and modeling relationships with applications to neuroscience
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