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

TL;DR

This paper explores how Jupyter Notebooks have evolved into a vital tool for open science, enhancing reproducibility and sharing of computational research.

Contribution

It provides an empirical analysis of Jupyter Notebooks' role in facilitating open science and reproducibility in computational research.

Findings

Jupyter Notebooks are widely adopted in scientific communities.

They improve transparency and reproducibility of computational experiments.

The study highlights the growing importance of notebooks in open science practices.

Abstract

As scientific work becomes more computational and data intensive, 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.