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10.2196/jmir.6365 http://scihub22266oqcxt.onion/10.2196/jmir.6365 C5014984!5014984 !27558834     free     free     free Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\27558834 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       J+Med+Internet+Res 2016 ; 18 (8 ): e230 Nephropedia Template TP {{tp|p=27558834 |t=2016. Datathons and Software to Promote Reproducible Research |pdf=|usr=}}{{27558834 }} gab.com Text Datathons and Software to Promote Reproducible Research JO: J Med Internet Res http://www.kidney.de/pget.php?&tw=1&pmid=27558834 #FOAvip BACKGROUND: Datathons facilitate collaboration between clinicians, statisticians, and data scientists in order to answer important clinical questions. Previous datathons have resulted in numerous publications of interest to the critical care community and serve as a viable model for interdisciplinary collaboration. OBJECTIVE: We report on an open-source software called Chatto that was created by members of our group, in the context of the second international Critical Care Datathon, held in September 2015. METHODS: Datathon participants formed teams to discuss potential research questions and the methods required to address them. They were provided with the Chatto suite of tools to facilitate their teamwork. Each multidisciplinary team spent the next 2 days with clinicians working alongside data scientists to write code, extract and analyze data, and reformulate their queries in real time as needed. All projects were then presented on the last day of the datathon to a panel of judges that consisted of clinicians and scientists. RESULTS: Use of Chatto was particularly effective in the datathon setting, enabling teams to reduce the time spent configuring their research environments to just a few minutes-a process that would normally take hours to days. Chatto continued to serve as a useful research tool after the conclusion of the datathon. CONCLUSIONS: This suite of tools fulfills two purposes: (1) facilitation of interdisciplinary teamwork through archiving and version control of datasets, analytical code, and team discussions, and (2) advancement of research reproducibility by functioning postpublication as an online environment in which independent investigators can rerun or modify analyses with relative ease. With the introduction of Chatto, we hope to solve a variety of challenges presented by collaborative data mining projects while improving research reproducibility. Twit Text FOAVip Datathons and Software to Promote Reproducible Research ????J Med Internet Res http://www.kidney.de/pget.php?&tw=1&pmid=27558834 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=27558834 #FOAvip English Wikipedia <ref>{{Cite pmid|27558834 }}</ref> Datathons and Software to Promote Reproducible Research #MMPMID27558834 Celi LA ; Lokhandwala S ; Montgomery R ; Moses C ; Naumann T ; Pollard T ; Spitz D ; Stretch R J Med Internet Res 2016[Aug]; 18 (8 ): e230 PMID27558834 show ga BACKGROUND: Datathons facilitate collaboration between clinicians, statisticians, and data scientists in order to answer important clinical questions. Previous datathons have resulted in numerous publications of interest to the critical care community and serve as a viable model for interdisciplinary collaboration. OBJECTIVE: We report on an open-source software called Chatto that was created by members of our group, in the context of the second international Critical Care Datathon, held in September 2015. METHODS: Datathon participants formed teams to discuss potential research questions and the methods required to address them. They were provided with the Chatto suite of tools to facilitate their teamwork. Each multidisciplinary team spent the next 2 days with clinicians working alongside data scientists to write code, extract and analyze data, and reformulate their queries in real time as needed. All projects were then presented on the last day of the datathon to a panel of judges that consisted of clinicians and scientists. RESULTS: Use of Chatto was particularly effective in the datathon setting, enabling teams to reduce the time spent configuring their research environments to just a few minutes-a process that would normally take hours to days. Chatto continued to serve as a useful research tool after the conclusion of the datathon. CONCLUSIONS: This suite of tools fulfills two purposes: (1) facilitation of interdisciplinary teamwork through archiving and version control of datasets, analytical code, and team discussions, and (2) advancement of research reproducibility by functioning postpublication as an online environment in which independent investigators can rerun or modify analyses with relative ease. With the introduction of Chatto, we hope to solve a variety of challenges presented by collaborative data mining projects while improving research reproducibility. |*Internet [MESH] |*Software [MESH] |Biomedical Research/standards [MESH] |Data Mining/*methods [MESH] |Humans [MESH] |Medical Informatics/*methods [MESH]Datathons and Software to Promote Reproducible Research (epmc).pdf DeepDyve Pubget Overpricing