Toward practical transparent verifiable and long-term reproducible research using Guix.
Toward practical transparent verifiable and long-term reproducible research using Guix.
复制标题
DOI:
10.1038/s41597-022-01720-9
复制
发表时间:
2022-10-04
期刊:
影响因子:
9.8
通讯作者:
Tournier, Simon
中科院分区:
文献类型:
--
作者:
Vallet, Nicolas;Michonneau, David;Tournier, Simon
Reproducibility crisis urge scientists to promote transparency which allows peers to draw same conclusions after performing identical steps from hypothesis to results. Growing resources are developed to open the access to methods, data and source codes. Still, the computational environment, an interface between data and source code running analyses, is not addressed. Environments are usually described with software and library names associated with version labels or provided as an opaque container image. This is not enough to describe the complexity of the dependencies on which they rely to operate on. We describe this issue and illustrate how open tools like Guix can be used by any scientist to share their environment and allow peers to reproduce it. Some steps of research might not be fully reproducible, but at least, transparency for computation is technically addressable. These tools should be considered by scientists willing to promote transparency and open science.
登录
查看更多内容
DOI:
10.1098/rsta.2020.0210
发表时间:
2021-05-17
影响因子:
5
作者:
Gundersen, Odd Erik
通讯作者:
Gundersen, Odd Erik
影响因子:
7.7
作者:
Lewis, L. Michelle;Edwards, Meredith C.;Blum, David
通讯作者:
Blum, David
影响因子:
7.7
作者:
McKiernan, Erin C.;Bourne, Philip E.;Yarkoni, Tal
通讯作者:
Yarkoni, Tal
影响因子:
7.7
作者:
Ma, Claire Y.;Marioni, John C.;Richard, Arianne C.
通讯作者:
Richard, Arianne C.
影响因子:
--
作者:
Kotecha, Nikesh;Krutzik, Peter O;Irish, Jonathan M
通讯作者:
Irish, Jonathan M