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Welcome to Jupyter: Improving Collaboration and Reproduction in Psychological Research by Using a Notebook System

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Doi: 10.20982/tqmp.14.2.p137

Sprengholz, Philipp
137-146
Keywords: Reproducible research , Interactive scientific computing , Collaboration , Notebook systems , Data management
Tools: Jupyter, R
(no sample data)   (no appendix)

The reproduction of findings from psychological research has been proven difficult. Ab-stract description of the data analysis steps performed by researchers is one of the main reasons why reproducing or even understanding published findings is so difficult. With the introduction of Jupyter, a new tool for the organization of both static and dynamic information became available. The software allows blending explanatory content like written text or images with code for preprocessing and analyzing scientific data. Thus, Jupyter helps documenting the whole research process from ideation over data analysis to the interpretation of results. This fosters both collaboration and scientific quality by helping researchers to organize their work. This tutorial is an introduction to Jupyter. It explains how to setup and use the notebook system. While introducing its key features, the advantages of using Jupyter notebooks for psychological research become obvious.


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