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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 Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=27195107 &cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\27195107 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Gigascience 2016 ; 5 (ä): 22 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): 22 PMID27195107 show 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. |*Biological Science Disciplines [MESH] |*Information Dissemination [MESH] |Computational Biology/methods [MESH] |Guidelines as Topic [MESH] |Humans [MESH] |Open Access Publishing [MESH]Recommendations for open data science (epmc).pdf DeepDyve Pubget Overpricing