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remkv6 committed Feb 9, 2024
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# Introduction

Code management is a critical aspect of research, especially in projects that involve computational methods, data analysis, and software development. Effective code management practices ensure that code is not only reusable and maintainable but also that it contributes to the **reproducibility and transparency of research outcomes**.

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Code management is a critical aspect of research, especially in projects that involve computational methods, data analysis, and software development. Effective code management practices ensure that code is not only reusable and maintainable but also that it contributes to the <b>reproducibility and transparency of research outcomes</b>.
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<span style="font-weight:800;">PRO TIP:</span>
<br><span style="font-style:italic;"> The efficient Code Management ensures that code, whether part of small-scale pipelines utilizing existing tools or complex development projects, remains robust, well-organized, accessible and usable. </span>
<br><span style="font-style:italic;">The efficient Code Management ensures that code, whether part of small-scale pipelines utilizing existing tools or complex development projects, remains robust, well-organized, accessible and usable.</span>
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Data Management is a critical aspect of research, ensuring that data collected, analyzed, and generated throughout a project is organized, stored, protected, and preserved effectively. This process enhances the integrity, reproducibility, and validity of research outcomes.
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<span style="font-weight:800;">PRO TIP:</span>
<br><span style="font-style:italic;"> In small and moderate scale projects, efficient data management is crucial for maximizing resource utilization, maintaining data quality, and ensuring compliance with ethical and legal standards. </span>
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