SciWIn Client: Reproducible computational workflows made easy

Reproducibility in computational research is vital for efficient collaboration, verifying results and ensuring transparency. Yet it remains challenging due to complex workflows, inconsistent data management and the reliance on specific software environments. SciWIn Client is a command-line tool designed to easily create, record, annotate and execute computational workflows. SciWIn Client enables researchers to interactively use intuitive commands to keep track of tasks such as as data-extraction, -cleaning, -transformation, -analysis, -visualization and computational simulation. Automated and standardised workflows minimise sources of error and support transparent and reproducible Open Science.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-11-13
DOI
https://doi.org/10.5281/zenodo.14098277
Primary Topic
Scientific Computing and Data Management
Type
article
Field-Weighted Citation Impact
0.00
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article

SciWIn Client: Reproducible computational workflows made easy

Zenodo (CERN European Organization for Nuclear Research)
Scientific Computing and Data Management
article

SciWIn Client: Reproducible computational workflows made easy

article en

Abstract

Reproducibility in computational research is vital for efficient collaboration, verifying results and ensuring transparency. Yet it remains challenging due to complex workflows, inconsistent data management and the reliance on specific software environments. SciWIn Client is a command-line tool designed to easily create, record, annotate and execute computational workflows. SciWIn Client enables researchers to interactively use intuitive commands to keep track of tasks such as as data-extraction, -cleaning, -transformation, -analysis, -visualization and computational simulation. Automated and standardised workflows minimise sources of error and support transparent and reproducible Open Science.

Zenodo (CERN European Organization for Nuclear Research)
Johann Heinrich von Thünen-Institut (DE), Leibniz-Institut für Pflanzengenetik und Kulturpflanzenforschung (IPK) (DE)
Industry, innovation and infrastructure
Openalex Percentile: Top 55%
Scientific Computing and Data Management
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