Using the Jupyter Notebook as a Tool for Open Science: An Empirical Study

Bernadette M. Randles, Irene V. Pasquetto, Milena S. Golshan, Christine L. Borgman
2017 2017 ACM/IEEE Joint Conference on Digital Libraries (JCDL)  
As scientific work becomes more computational and dataintensive, research processes and results become more difficult to interpret and reproduce. In this poster, we show how the Jupyter notebook, a tool originally designed as a free version of Mathematica notebooks, has evolved to become a robust tool for scientists to share code, associated computation, and documentation.
doi:10.1109/jcdl.2017.7991618 dblp:conf/jcdl/RandlesPGB17 fatcat:myizxudmqfcqzcm3iar5p74pnu