Name
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.
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Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/JCDL.2017.7991618 | acm ieee joint conference on digital libraries |
Keywords | Field | DocType |
Jupyter notebooks,open science,open data,data sharing and reuse,reproducibility | Open data,Software engineering,Interoperability,Computer science,Software,Open science,Documentation,Multimedia,Empirical research,Computation | Conference |
Volume | ISSN | ISBN |
abs/1804.05492 | 2017 ACM/IEEE Joint Conference on Digital Libraries (JCDL) (2017).
Toronto, ON, Canada. June 19, 2017 to June 23, 2017, ISBN: 978-1-5386-3862-0
pp: 1-2 | 978-1-5386-3861-3 |
Citations | PageRank | References |
4 | 0.53 | 3 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bernadette M. Randles | 1 | 9 | 0.98 |
| irene v pasquetto | 2 | 19 | 4.99 |
| Milena S. Golshan | 3 | 14 | 3.21 |
| Christine L. Borgman | 4 | 1520 | 208.55 |