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10.1186/s13742-016-0127-4 http://scihub22266oqcxt.onion/10.1186/s13742-016-0127-4 C4870738!4870738!27195107     free     free     free       Gigascience 2016 ; 5 (ä): ä Nephropedia Template TP {{tp|p=27195107|t=2016. Recommendations for open data science |pdf=|usr=}}{{27195107}} gab.com Text Recommendations for open data science JO: Gigascience http://www.kidney.de/pget.php?&tw=1&pmid=27195107 #FOAvip Life science research increasingly relies on large-scale computational analyses. However, the code and data used for these analyses are often lacking in publications. To maximize scientific impact, reproducibility, and reuse, it is crucial that these resources are made publicly available and are fully transparent. We provide recommendations for improving the openness of data-driven studies in life sciences. Twit Text FOAVip Recommendations for open data science ????Gigascience http://www.kidney.de/pget.php?&tw=1&pmid=27195107 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=27195107 #FOAvip English Wikipedia <ref>{{Cite pmid|27195107}}</ref> Recommendations for open data science #MMPMID27195107 Gymrek M; Farjoun Y Gigascience 2016[]; 5 (ä): ä PMID27195107show ga Life science research increasingly relies on large-scale computational analyses. However, the code and data used for these analyses are often lacking in publications. To maximize scientific impact, reproducibility, and reuse, it is crucial that these resources are made publicly available and are fully transparent. We provide recommendations for improving the openness of data-driven studies in life sciences. äRecommendations for open data science (epmc).pdf DeepDyve Pubget Overpricing