Abstract
Research in the context of data-driven science requires a backbone of
well-written software, but scientific researchers are typically not
trained at length in software engineering, the principles for creating
better software products. To address this gap, in particular for young
researchers new to programming, we give ten recommendations to ensure
the usability, sustainability and practicality of research software.
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