Title |
Re-run, Repeat, Reproduce, Reuse, Replicate: Transforming Code into Scientific Contributions
|
---|---|
Published in |
Frontiers in Neuroinformatics, January 2018
|
DOI | 10.3389/fninf.2017.00069 |
Pubmed ID | |
Authors |
Fabien C. Y. Benureau, Nicolas P. Rougier |
Abstract |
Scientific code is different from production software. Scientific code, by producing results that are then analyzed and interpreted, participates in the elaboration of scientific conclusions. This imposes specific constraints on the code that are often overlooked in practice. We articulate, with a small example, five characteristics that a scientific code in computational science should possess: re-runnable, repeatable, reproducible, reusable, and replicable. The code should be executable (re-runnable) and produce the same result more than once (repeatable); it should allow an investigator to reobtain the published results (reproducible) while being easy to use, understand and modify (reusable), and it should act as an available reference for any ambiguity in the algorithmic descriptions of the article (replicable). |
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Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 9 | 9% |
France | 7 | 7% |
United States | 6 | 6% |
Germany | 3 | 3% |
Switzerland | 3 | 3% |
Australia | 3 | 3% |
Canada | 2 | 2% |
Sweden | 1 | 1% |
Netherlands | 1 | 1% |
Other | 5 | 5% |
Unknown | 59 | 60% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 64 | 65% |
Scientists | 28 | 28% |
Science communicators (journalists, bloggers, editors) | 7 | 7% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 124 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 30 | 24% |
Researcher | 28 | 23% |
Student > Master | 11 | 9% |
Professor > Associate Professor | 8 | 6% |
Student > Doctoral Student | 6 | 5% |
Other | 20 | 16% |
Unknown | 21 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 28 | 23% |
Engineering | 11 | 9% |
Agricultural and Biological Sciences | 6 | 5% |
Neuroscience | 6 | 5% |
Psychology | 5 | 4% |
Other | 36 | 29% |
Unknown | 32 | 26% |