
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.
NFDI, M4.4, Plenary 2024, Research Data Management, Agrosystems, FAIRagro
NFDI, M4.4, Plenary 2024, Research Data Management, Agrosystems, FAIRagro
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
