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Recommendations for open data science
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OA
AI
DOI：10.1186/s13742-016-0127-4.png)
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摘要
En 中文
Life science research increasingly relies on large-scale computational analyses. However, the code and data used for these analyses are often lacking in publications. To maximize scientific impact, reproducibility, and reuse, it is crucial that these resources are made publicly available and are fully transparent. We provide recommendations for improving the openness of data-driven studies in life sciences.
Keyword:
Reproducible research
Open science
Best practices
AI总结
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