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.
Complete list of metadatas

https://hal.inria.fr/hal-01592368
Contributor : Gaël Varoquaux <>
Submitted on : Friday, October 13, 2017 - 5:59:10 PM
Last modification on : Friday, March 8, 2019 - 1:20:12 AM
Long-term archiving on : Sunday, January 14, 2018 - 12:12:22 PM

Files

paper.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-01592368, version 1

Citation

Gaël Varoquaux. Beyond computational reproducibility, let us aim for reusability. Newsletter of the IEEE Technical Committee on Cognitive and Developmental Systems, 2016, What is Computational Reproducibility?, 13 (2), ⟨https://openlab-flowers.inria.fr/t/ieee-cis-newsletter-on-cognitive-and-developmental-systems/129⟩. ⟨hal-01592368⟩

Share

Metrics

Record views

309

Files downloads

48