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@@ -20,7 +20,7 @@ These time-stamped certificates will include key outputs, including figures and
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Such certificates will help in the peer review process by showing reviewers that the code is available and works.
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We will work with several journals to design the system so that it can be used a pilot service by those journals.
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The level of reproducibility in CODECHECK will vary considerably.
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At a minimum, we propose one key figure or table from a paper needs to be regenerated from the code, rather than the entire research article.
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At a minimum, we propose one key figure or table from a paper needs to be regenerated from the code, rather than the entire research article.
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The long-term vision is that our service will be used by journals in biomedicine (and beyond), with financial support from infrastructure grants and journals.
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We hope our system will encourage researchers to share data before publication, as it can confirm that an analysis works outside their lab.
@@ -35,7 +35,7 @@ Based on a hand-coded demonstrator for checking computations (<https://sje30.git
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Researchers can create a snapshot of a workflow executed as a Binder after comparing the results with the ones recorded in their scientific article.
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The snapshot comprises the used data, code (including configuration, parameters), and runtime environment.
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It will be saved to a public research data repository (i.e. [Zenodo](https://zenodo.org/)), allowing long-term access and scrutiny of open research by reviewers and readers.
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While the infrastructure behind BinderHub is generic, supporting many programming languages and domains, our examples will come from computational neuroscience.
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While the infrastructure behind BinderHub is generic, supporting many programming languages and domains, our examples will come from computational neuroscience.
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This is simply to ensure we have the ability to understand the scientific approaches in papers and support common workflows from the domain.
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However, CODECHECK system should be widely applicable.
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