Gurushala

How Data Scientists Use Computational Notebooks for Real-Time Collaboration

Effective collaboration in data science can leverage domain expertise from each team member and thus
improve the quality and efficiency of the work. Computational notebooks give data scientists a convenient
interactive solution for sharing and keeping track of the data exploration process through a combination of
code, narrative text, visualizations, and other rich media. In this paper, we report how synchronous editing in
computational notebooks changes the way data scientists work together compared to working on individual
notebooks. We first conducted a formative survey with 195 data scientists to understand their past experience
with collaboration in the context of data science. Next, we carried out an observational study of 24 data
scientists working in pairs remotely to solve a typical data science predictive modeling problem, working on
either notebooks supported by synchronous groupware or individual notebooks in a collaborative setting.

How Data Scientists Use Computational Notebooks for Real-Time Collaboration

Ed-Tech

How Data Scientists Use Computational Notebooks for Real-Time Collaboration

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