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Beyond computational reproducibility, let us aim for reusability

Abstract : Scientific progress calls for reproducing results. Due to limited resources, this is difficult even in computational sciences. Yet, reproducibility is only a means to an end. It is not enough by itself to enable new scientific results. Rather, new discoveries must build on reuse and modification of the state of the art. As time goes, this state of the art must be consolidated in software libraries, just as scientific knowledge as been consolidated on bookshelves of brick-and-mortar libraries.
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Contributor : Gaël Varoquaux Connect in order to contact the contributor
Submitted on : Friday, October 13, 2017 - 5:59:10 PM
Last modification on : Monday, December 13, 2021 - 9:16:06 AM
Long-term archiving on: : Sunday, January 14, 2018 - 12:12:22 PM


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  • HAL Id : hal-01592368, version 1


Gaël Varoquaux. Beyond computational reproducibility, let us aim for reusability. IEEE CIS Newsletter on Cognitive and Developmental Systems, IEEE CIS Technical Committee on CDS, 2016, What is Computational Reproducibility?, 13 (2). ⟨hal-01592368⟩



Les métriques sont temporairement indisponibles