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1. Big data, informatics, and research
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Ten simple rules to enable multi-site collaborations through data sharing (Boland ''et al.'' 2017)
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A metadata-driven approach to data repository design (Harvey ''et al.'' 2017)
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Data and metadata brokering – Theory and practice from the BCube Project (Khalsa 2017)
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Ten simple rules for cultivating open science and collaborative R&D (Masum ''et al.'' 2013)
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2. Bioinformatics
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PCM-SABRE: A platform for benchmarking and comparing outcome prediction methods in precision cancer medicine (Eyal-Altman ''et al.'' 2017)
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SCIFIO: An extensible framework to support scientific image formats (Hiner ''et al.'' 2017)
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Ten simple rules for developing usable software in computational biology (List ''et al.'' 2017)
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DGW: An exploratory data analysis tool for clustering and visualisation of epigenomic marks (Lukauskas ''et al.'' 2016)
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Use of application containers and workflows for genomic data analysis (Schulz ''et al.'' 2016)
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3. Health, public health, and clinical informatics
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Informatics metrics and measures for a smart public health systems approach: Information science perspective (Carney and Shea 2017)
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Deployment of analytics into the healthcare safety net: Lessons learned (Hartzband and Jacobs 2016)
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The effect of the General Data Protection Regulation on medical research (Rumbold and Pierscionek 2017)
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