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Scikick: A sidekick for workflow clarity and reproducibility during extensive data analysis
PLOS ONE, Jul 2023 Reproducibility is crucial for scientific progress, yet a clear research data analysis workflow is challenging to implement and maintain. As a result, a record of computational steps performed on the data to arrive at the key research findings is often missing. We developed Scikick, a tool that eases the configuration, execution, and presentation of scientific computational analyses.
Scikick: A sidekick for workflow clarity and reproducibility during extensive data analysis
Loading metrics Open Access Peer-reviewed Research Article Abstract Reproducibility is crucial for scientific progress, yet a clear research data analysis workflow is challenging to implement and maintain. As a result, a record of computational steps performed on the data to arrive at the key research findings is often missing. We developed Scikick, a tool that eases the configuration, execution, and presentation of scientific computational analyses.
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