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A framework for streamlining research workflow in neuroscience and psychology
6 references·0 citing·20 second hop
A framework for streamlining research workflow in neuroscience and psychology (2014)A framework for streamlining research wor…Best Practices for Scientific Computing (2014)Best Practices for Scientific…Troubling Trends in Scientific Software Use (2013)Troubling Trends in Scientifi…The case for open computer programs (2012)The case for open computer pr…Open is Not Enough. Let's Take the Next Step: An Integrated, Community-Driven Computing Platform for Neuroscience (2012)Open is Not Enough. Let's Tak…Nipype: A Flexible, Lightweight and Extensible Neuroimaging Data Processing Framework in Python (2011)Nipype: A Flexible, Lightweig…Publish your computer code: it is good enough (2010)Publish your computer code: i…The Fourth Paradigm: Data-Intensive Scientific Discovery (2009)Computational science: ...Error (2010)The Software Sustainability Institute: Changing Research Software Attitudes and Practices (2013)Sources of error in the retracted scientific literature (2014)EntropyHub: An open-source toolkit for entropic time series analysis (2021)Child Maltreatment and Neural Systems Underlying Emotion Regulation (2015)How open science helps researchers succeed (2016)Beyond the 30-Million-Word Gap: Children’s Conversational Exposure Is Associated With Language-Related Brain Function (2018)Two new Later Stone Age sites from the Final Pleistocene in the Falémé Valley, eastern Senegal (2024)The secret lives of experiments: Methods reporting in the fMRI literature (2012)ITK: enabling reproducible research and open science (2014)A Novel, Open Access Method to Assess Sleep Duration Using a Wrist-Worn Accelerometer (2015)Computational Reproducibility in Archaeological Research: Basic Principles and a Case Study of Their Implementation (2016)Description and Validation of a Computerized Behavioral Data Program: “BDataPro” (2017)Our path to better science in less time using open data science tools (2017)Towards an unconscious neural reinforcement intervention for common fears (2018)Multivoxel pattern analysis reveals dissociations between subjective fear and its physiological correlates (2019)Ten simple rules for writing Dockerfiles for reproducible data science (2020)Good enough practices in scientific computing. (2017)A Large-Scale Study About Quality and Reproducibility of Jupyter Notebooks (2019)
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References

  • 2011Nipype: A Flexible, Lightweight and Extensible Neuroimaging Data Processing Framework in Python2,202 cited
  • 2014Best Practices for Scientific Computing715 cited
  • 2012The case for open computer programs537 cited
  • 2010Publish your computer code: it is good enough315 cited
  • 2013Troubling Trends in Scientific Software Use189 cited
  • 2012Open is Not Enough. Let's Take the Next Step: An Integrated, Community-Driven Computing Platform for Neuroscience115 cited

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