Whilst many funders and publishers require or encourage researchers to share data underlying publications, the same cannot be said for code, which is also vital for reproducibility and transparency of research. We surveyed researchers in computational biology disciplines to understand if the community would support a mandatory code sharing policy, and their experiences with code sharing. Respondents (n=214) reported that, on average, 71% of their research articles have associated code, and that on average, code has not been shared for 32% of these articles. The most common reasons for not sharing code were practical issues (e.g. lack of time) and intellectual property concerns were cited by 22%. Overall, respondents reported they were on av...
The first Open Science Indicators Dataset released in December 2022 by the Public Library of Science...
Data sharing is crucial to the advancement of science because it facilitates collaboration, transpar...
Presentation given on October 27, 2016 at Data Reproducibility: Integrity and Transparency program a...
This poster was presented at Reproducibility, Replicability and Trust in Science Conference, 7th Sep...
Ensuring reproducibility is one of the main goals of open science. To achieve reproducibility of sci...
The biological sciences community is increasingly recognizing the value of open, reproducible and tr...
Scientific computation is emerging as absolutely central to the scientific method, but the prevalen...
Journal policy on research data and code availability is an important part of the ongoing shift towa...
<div><p>Journal policy on research data and code availability is an important part of the ongoing sh...
Journal policy on research data and code availability is an important part of the ongoing shift towa...
Numerous studies have demonstrated low but increasing rates of data and code sharing within medical ...
Numerous studies have demonstrated low but increasing rates of data and code sharing within medical ...
Access to analytical code is essential for transparent and reproducible research. We review the stat...
Access to analytical code is essential for transparent and reproducible research. We review the stat...
In computational sciences such as image processing, publishing usually isn't enough to allow other r...
The first Open Science Indicators Dataset released in December 2022 by the Public Library of Science...
Data sharing is crucial to the advancement of science because it facilitates collaboration, transpar...
Presentation given on October 27, 2016 at Data Reproducibility: Integrity and Transparency program a...
This poster was presented at Reproducibility, Replicability and Trust in Science Conference, 7th Sep...
Ensuring reproducibility is one of the main goals of open science. To achieve reproducibility of sci...
The biological sciences community is increasingly recognizing the value of open, reproducible and tr...
Scientific computation is emerging as absolutely central to the scientific method, but the prevalen...
Journal policy on research data and code availability is an important part of the ongoing shift towa...
<div><p>Journal policy on research data and code availability is an important part of the ongoing sh...
Journal policy on research data and code availability is an important part of the ongoing shift towa...
Numerous studies have demonstrated low but increasing rates of data and code sharing within medical ...
Numerous studies have demonstrated low but increasing rates of data and code sharing within medical ...
Access to analytical code is essential for transparent and reproducible research. We review the stat...
Access to analytical code is essential for transparent and reproducible research. We review the stat...
In computational sciences such as image processing, publishing usually isn't enough to allow other r...
The first Open Science Indicators Dataset released in December 2022 by the Public Library of Science...
Data sharing is crucial to the advancement of science because it facilitates collaboration, transpar...
Presentation given on October 27, 2016 at Data Reproducibility: Integrity and Transparency program a...